Processing SIRA roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65979003906
iteration 3 err=191.171340942383
iteration 4 err=53.2240219116211
iteration 5 err=9.53464984893799
iteration 6 err=3.79767966270447
iteration 7 err=1.8447493314743
iteration 8 err=2.69430303573608
iteration 9 err=1.46237885951996
iteration 10 err=0.788765013217926
iteration 11 err=0.376261711120605
iteration 12 err=0.244827479124069
iteration 13 err=0.168452352285385
iteration 14 err=0.0964488014578819
iteration 15 err=0.0966620892286301
iteration 16 err=0.17663761973381
iteration 17 err=0.0762869641184807
iteration 18 err=0.0373198911547661
iteration 19 err=0.0358418859541416
iteration 20 err=0.0287492554634809
CG iteration 1 err=2357.33642578125
CG iteration 2 err=1.52184510231018
CG iteration 3 err=0.574016928672791
CG iteration 4 err=0.2651047706604
CG iteration 5 err=0.0998237058520317
CG iteration 6 err=0.105069637298584
CG iteration 7 err=0.141808658838272
CG iteration 8 err=0.0673086419701576
CG iteration 9 err=0.0374927893280983
CG iteration 10 err=0.0694640725851059
CG iteration 11 err=0.0413686707615852
CG iteration 12 err=0.0201069358736277
CG iteration 13 err=0.0165274273604155
CG iteration 14 err=0.0208470933139324
CG iteration 15 err=0.0109635815024376
CG iteration 16 err=0.00609769066795707
CG iteration 17 err=0.00689086318016052
CG iteration 18 err=0.0213697850704193
CG iteration 19 err=0.00483743054792285
CG iteration 20 err=0.00500953756272793
L2 solution PSNR_ROI=23.565021589723
init v=504.632934570313 u=797.332885742188 u0=177004.546875
solution space=(alpha>=1 OR 0.041799<beta<=221.995794)
Iteration 1 PSNR_ROI=24.02110183 dB, data_fidel=791.091125, data_consist=6.803308, sparsity=265811.089844, overall=568229.123094 < 32.899531
Iteration 2 PSNR_ROI=23.66347641 dB, data_fidel=0.210086, data_consist=4.085556, sparsity=266385.941040, overall=476.512315 < 32.899531
Iteration 3 PSNR_ROI=25.19922707 dB, data_fidel=0.340265, data_consist=1.557549, sparsity=266952.065308, overall=368.362654 < 32.899531
Iteration 4 PSNR_ROI=25.64600050 dB, data_fidel=0.409399, data_consist=0.396965, sparsity=267523.297852, overall=325.435556 < 32.899531
Iteration 5 PSNR_ROI=26.15980284 dB, data_fidel=0.395558, data_consist=0.079846, sparsity=268134.191650, overall=290.218924 < 32.899531
Iteration 6 PSNR_ROI=26.70296078 dB, data_fidel=0.311414, data_consist=0.444535, sparsity=268779.077881, overall=258.914679 < 32.899531
Iteration 7 PSNR_ROI=27.28238316 dB, data_fidel=0.193915, data_consist=1.154825, sparsity=269458.679077, overall=231.231605 < 32.899531
Iteration 8 PSNR_ROI=27.74071368 dB, data_fidel=0.085853, data_consist=1.818417, sparsity=270166.054932, overall=206.596195 < 32.899531
Iteration 9 PSNR_ROI=28.20720169 dB, data_fidel=0.019013, data_consist=2.141200, sparsity=270903.854736, overall=184.368938 < 32.899531
Iteration 10 PSNR_ROI=28.58955089 dB, data_fidel=0.004537, data_consist=2.021142, sparsity=271677.393799, overall=164.408236 < 32.899531
Iteration 11 PSNR_ROI=28.96019394 dB, data_fidel=0.032707, data_consist=1.547112, sparsity=272494.687378, overall=146.826892 < 32.899531
Iteration 12 PSNR_ROI=29.37660507 dB, data_fidel=0.080294, data_consist=0.924016, sparsity=273355.640869, overall=131.294086 < 32.899531
Iteration 13 PSNR_ROI=29.64012020 dB, data_fidel=0.122151, data_consist=0.376426, sparsity=274200.423584, overall=117.668973 < 32.899531
Iteration 14 PSNR_ROI=29.75670267 dB, data_fidel=0.140958, data_consist=0.066297, sparsity=275255.508789, overall=106.437284 < 32.899531
Iteration 15 PSNR_ROI=29.97133622 dB, data_fidel=0.130438, data_consist=0.022125, sparsity=276259.542114, overall=95.365980 < 32.899531
Iteration 16 PSNR_ROI=29.83483333 dB, data_fidel=0.097965, data_consist=0.192935, sparsity=277277.362183, overall=85.683031 < 32.899531
Iteration 17 PSNR_ROI=29.67678291 dB, data_fidel=0.057367, data_consist=0.452018, sparsity=278397.420654, overall=77.207122 < 32.899531
Iteration 18 PSNR_ROI=29.30870649 dB, data_fidel=0.022864, data_consist=0.663897, sparsity=279568.706787, overall=69.341603 < 32.899531
Iteration 19 PSNR_ROI=28.82354812 dB, data_fidel=0.004201, data_consist=0.743870, sparsity=280801.069580, overall=62.325653 < 32.899531
Iteration 20 PSNR_ROI=28.19788685 dB, data_fidel=0.003414, data_consist=0.671419, sparsity=282090.101196, overall=55.984519 < 32.899531
Iteration 21 PSNR_ROI=27.56404997 dB, data_fidel=0.015899, data_consist=0.489085, sparsity=283444.967041, overall=50.405802 < 32.899531
Iteration 22 PSNR_ROI=26.82797644 dB, data_fidel=0.033052, data_consist=0.272838, sparsity=284892.616943, overall=45.472354 < 32.899531
Iteration 23 PSNR_ROI=25.98510569 dB, data_fidel=0.046358, data_consist=0.096728, sparsity=286405.533691, overall=40.978686 < 32.899531
Iteration 24 PSNR_ROI=25.22495462 dB, data_fidel=0.050714, data_consist=0.009420, sparsity=287998.072266, overall=37.143457 < 32.899531
Iteration 25 PSNR_ROI=24.40509114 dB, data_fidel=0.045203, data_consist=0.016121, sparsity=289677.660400, overall=33.723234 < 32.899531
Iteration 26 PSNR_ROI=23.58340039 dB, data_fidel=0.032881, data_consist=0.087494, sparsity=291424.044189, overall=30.571550 < 32.899531
Stopping condition (overall_err < 32.899531) reached
Processing SIRA: 34235.05 ms
RESULT SIRA IMAGE=mouse RADIUS=12 PSNR=23.583401 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_12.png
Processing SIRA roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.6591796875
iteration 3 err=191.171295166016
iteration 4 err=53.2240142822266
iteration 5 err=9.53464317321777
iteration 6 err=3.79731893539429
iteration 7 err=1.8101761341095
iteration 8 err=1.5516345500946
iteration 9 err=1.28241169452667
iteration 10 err=1.110955119133
iteration 11 err=0.377945601940155
iteration 12 err=0.24483659863472
iteration 13 err=0.168451622128487
iteration 14 err=0.096383698284626
iteration 15 err=0.085700087249279
iteration 16 err=0.0668767765164375
iteration 17 err=0.115259766578674
iteration 18 err=0.0484668463468552
iteration 19 err=0.0358856730163097
iteration 20 err=0.0290311891585588
CG iteration 1 err=3760.46069335938
CG iteration 2 err=2.56623601913452
CG iteration 3 err=0.916734516620636
CG iteration 4 err=0.354098111391068
CG iteration 5 err=0.103487648069859
CG iteration 6 err=0.0992530137300491
CG iteration 7 err=0.141746416687965
CG iteration 8 err=0.0560061447322369
CG iteration 9 err=0.0789749175310135
CG iteration 10 err=0.102562487125397
CG iteration 11 err=0.0394305996596813
CG iteration 12 err=0.0192223023623228
CG iteration 13 err=0.0232100635766983
CG iteration 14 err=0.0183970779180527
CG iteration 15 err=0.0103678926825523
CG iteration 16 err=0.00987084116786718
CG iteration 17 err=0.00663469405844808
CG iteration 18 err=0.0197269581258297
CG iteration 19 err=0.0068451315164566
CG iteration 20 err=0.0074902824126184
L2 solution PSNR_ROI=23.1524327232687
init v=489.124389648438 u=763.991638183594 u0=164552.25
solution space=(alpha>=1 OR 0.039944<beta<=215.384884)
Iteration 1 PSNR_ROI=23.56721163 dB, data_fidel=755.771240, data_consist=8.918216, sparsity=263224.480713, overall=520343.961353 < 30.205607
Iteration 2 PSNR_ROI=23.08692024 dB, data_fidel=0.277654, data_consist=5.341010, sparsity=263800.586548, overall=598.961255 < 30.205607
Iteration 3 PSNR_ROI=24.05741375 dB, data_fidel=0.452185, data_consist=2.080975, sparsity=264368.782227, overall=469.903615 < 30.205607
Iteration 4 PSNR_ROI=24.35358022 dB, data_fidel=0.545247, data_consist=0.499693, sparsity=264960.839844, overall=413.083653 < 30.205607
Iteration 5 PSNR_ROI=24.78359043 dB, data_fidel=0.527111, data_consist=0.093525, sparsity=265643.082642, overall=369.582836 < 30.205607
Iteration 6 PSNR_ROI=25.35814705 dB, data_fidel=0.415030, data_consist=0.591501, sparsity=266294.371338, overall=330.561763 < 30.205607
Iteration 7 PSNR_ROI=25.65573980 dB, data_fidel=0.258537, data_consist=1.539174, sparsity=266978.153564, overall=295.359504 < 30.205607
Iteration 8 PSNR_ROI=26.04812344 dB, data_fidel=0.114590, data_consist=2.421101, sparsity=267706.859375, overall=263.761293 < 30.205607
Iteration 9 PSNR_ROI=26.48154099 dB, data_fidel=0.025464, data_consist=2.852902, sparsity=268465.104248, overall=235.467917 < 30.205607
Iteration 10 PSNR_ROI=26.88502867 dB, data_fidel=0.006064, data_consist=2.697789, sparsity=269259.032959, overall=210.278378 < 30.205607
Iteration 11 PSNR_ROI=27.26454405 dB, data_fidel=0.043497, data_consist=2.067786, sparsity=270076.755127, overall=187.885084 < 30.205607
Iteration 12 PSNR_ROI=27.63552546 dB, data_fidel=0.107246, data_consist=1.236621, sparsity=270944.866943, overall=168.218522 < 30.205607
Iteration 13 PSNR_ROI=28.10216233 dB, data_fidel=0.163352, data_consist=0.503488, sparsity=271853.858887, overall=150.785857 < 30.205607
Iteration 14 PSNR_ROI=28.49270490 dB, data_fidel=0.188095, data_consist=0.080606, sparsity=272816.194336, overall=135.490987 < 30.205607
Iteration 15 PSNR_ROI=28.86053285 dB, data_fidel=0.174779, data_consist=0.032101, sparsity=273946.414795, overall=122.628934 < 30.205607
Iteration 16 PSNR_ROI=29.49879463 dB, data_fidel=0.131145, data_consist=0.259709, sparsity=275020.415649, overall=110.015964 < 30.205607
Iteration 17 PSNR_ROI=29.67089697 dB, data_fidel=0.076734, data_consist=0.602877, sparsity=276152.018799, overall=98.821015 < 30.205607
Iteration 18 PSNR_ROI=29.93303205 dB, data_fidel=0.030659, data_consist=0.887650, sparsity=277338.128540, overall=88.896923 < 30.205607
Iteration 19 PSNR_ROI=30.11467968 dB, data_fidel=0.005597, data_consist=0.994621, sparsity=278592.145020, overall=79.836530 < 30.205607
Iteration 20 PSNR_ROI=30.13250013 dB, data_fidel=0.004528, data_consist=0.897831, sparsity=279905.079102, overall=71.706871 < 30.205607
Iteration 21 PSNR_ROI=30.03229218 dB, data_fidel=0.021147, data_consist=0.654294, sparsity=281286.968994, overall=64.528308 < 30.205607
Iteration 22 PSNR_ROI=29.74748059 dB, data_fidel=0.044124, data_consist=0.364711, sparsity=282737.635498, overall=58.202791 < 30.205607
Iteration 23 PSNR_ROI=29.25968113 dB, data_fidel=0.061998, data_consist=0.129747, sparsity=284292.682373, overall=52.542141 < 30.205607
Iteration 24 PSNR_ROI=28.66160108 dB, data_fidel=0.067733, data_consist=0.012276, sparsity=285905.897217, overall=47.510261 < 30.205607
Iteration 25 PSNR_ROI=28.01060557 dB, data_fidel=0.060380, data_consist=0.021340, sparsity=287610.052246, overall=43.147163 < 30.205607
Iteration 26 PSNR_ROI=27.24968806 dB, data_fidel=0.044014, data_consist=0.117329, sparsity=289393.190918, overall=39.227266 < 30.205607
Processing SIRA: 34110.05 ms
RESULT SIRA IMAGE=mouse RADIUS=16 PSNR=27.249688 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_16.png
Processing SIRA roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65856933594
iteration 3 err=191.171249389648
iteration 4 err=53.2240028381348
iteration 5 err=9.53464889526367
iteration 6 err=3.79743790626526
iteration 7 err=1.82135617733002
iteration 8 err=2.00412106513977
iteration 9 err=1.68773698806763
iteration 10 err=0.816197097301483
iteration 11 err=0.376384407281876
iteration 12 err=0.244827851653099
iteration 13 err=0.16845141351223
iteration 14 err=0.0963858440518379
iteration 15 err=0.086066946387291
iteration 16 err=0.0816138833761215
iteration 17 err=0.18075230717659
iteration 18 err=0.0377353094518185
iteration 19 err=0.0358366072177887
iteration 20 err=0.0285418666899204
CG iteration 1 err=7262.5517578125
CG iteration 2 err=5.27585697174072
CG iteration 3 err=1.69742166996002
CG iteration 4 err=0.540087819099426
CG iteration 5 err=0.146596819162369
CG iteration 6 err=0.0894194543361664
CG iteration 7 err=0.142597615718842
CG iteration 8 err=0.0532899238169193
CG iteration 9 err=0.250700294971466
CG iteration 10 err=0.0694304257631302
CG iteration 11 err=0.0381095744669437
CG iteration 12 err=0.0335034020245075
CG iteration 13 err=0.0200600530952215
CG iteration 14 err=0.0150176016613841
CG iteration 15 err=0.0128594413399696
CG iteration 16 err=0.0483383610844612
CG iteration 17 err=0.0115137565881014
CG iteration 18 err=0.00721423048526049
CG iteration 19 err=0.00694200582802296
CG iteration 20 err=0.0125285247340798
L2 solution PSNR_ROI=22.4304740177605
init v=487.481781005859 u=750.77392578125 u0=147101.28125
solution space=(alpha>=1 OR 0.037716<beta<=195.932858)
Iteration 1 PSNR_ROI=22.82568012 dB, data_fidel=738.815613, data_consist=13.502738, sparsity=263045.194214, overall=500228.898602 < 29.169482
Iteration 2 PSNR_ROI=22.68819896 dB, data_fidel=0.415844, data_consist=7.664496, sparsity=263636.749146, overall=856.414474 < 29.169482
Iteration 3 PSNR_ROI=22.99878572 dB, data_fidel=0.672197, data_consist=3.290704, sparsity=264254.880981, overall=701.258389 < 29.169482
Iteration 4 PSNR_ROI=23.23064831 dB, data_fidel=0.810282, data_consist=0.824329, sparsity=264855.024780, overall=609.392920 < 29.169482
Iteration 5 PSNR_ROI=23.48652700 dB, data_fidel=0.783364, data_consist=0.187400, sparsity=265516.554077, overall=543.385954 < 29.169482
Iteration 6 PSNR_ROI=23.79870331 dB, data_fidel=0.617234, data_consist=0.905460, sparsity=266215.026611, overall=485.042462 < 29.169482
Iteration 7 PSNR_ROI=24.08316069 dB, data_fidel=0.384884, data_consist=2.306413, sparsity=266950.242310, overall=433.224294 < 29.169482
Iteration 8 PSNR_ROI=24.37117360 dB, data_fidel=0.170911, data_consist=3.614516, sparsity=267724.016357, overall=386.852504 < 29.169482
Iteration 9 PSNR_ROI=24.61255393 dB, data_fidel=0.038616, data_consist=4.251451, sparsity=268529.953979, overall=345.280259 < 29.169482
Iteration 10 PSNR_ROI=24.89652724 dB, data_fidel=0.010251, data_consist=4.017369, sparsity=269438.489990, overall=308.539863 < 29.169482
Iteration 11 PSNR_ROI=25.32482728 dB, data_fidel=0.065708, data_consist=3.074932, sparsity=270340.849121, overall=275.256484 < 29.169482
Iteration 12 PSNR_ROI=25.59344444 dB, data_fidel=0.160046, data_consist=1.839266, sparsity=271259.880127, overall=246.230023 < 29.169482
Iteration 13 PSNR_ROI=25.87306948 dB, data_fidel=0.243322, data_consist=0.752899, sparsity=272230.159424, overall=220.937629 < 29.169482
Iteration 14 PSNR_ROI=26.20401025 dB, data_fidel=0.280141, data_consist=0.125668, sparsity=273251.868286, overall=198.725138 < 29.169482
Iteration 15 PSNR_ROI=26.57619860 dB, data_fidel=0.259837, data_consist=0.044605, sparsity=274330.426025, overall=178.919737 < 29.169482
Iteration 16 PSNR_ROI=26.98273609 dB, data_fidel=0.195471, data_consist=0.385642, sparsity=275472.774536, overall=161.032398 < 29.169482
Iteration 17 PSNR_ROI=27.34865584 dB, data_fidel=0.114746, data_consist=0.899470, sparsity=276671.838745, overall=145.063018 < 29.169482
Iteration 18 PSNR_ROI=27.79886880 dB, data_fidel=0.046190, data_consist=1.321775, sparsity=277928.322754, overall=130.445970 < 29.169482
Iteration 19 PSNR_ROI=28.22650873 dB, data_fidel=0.008874, data_consist=1.480698, sparsity=279259.281738, overall=117.163073 < 29.169482
Iteration 20 PSNR_ROI=28.59288467 dB, data_fidel=0.007512, data_consist=1.339761, sparsity=280628.852539, overall=105.661407 < 29.169482
Iteration 21 PSNR_ROI=29.04834190 dB, data_fidel=0.032226, data_consist=0.982786, sparsity=282102.529785, overall=95.560132 < 29.169482
Iteration 22 PSNR_ROI=29.48002718 dB, data_fidel=0.066323, data_consist=0.545509, sparsity=283645.965576, overall=85.769368 < 29.169482
Iteration 23 PSNR_ROI=29.82112239 dB, data_fidel=0.093405, data_consist=0.207650, sparsity=285252.709229, overall=78.703309 < 29.169482
Iteration 24 PSNR_ROI=30.17795029 dB, data_fidel=0.101232, data_consist=0.029479, sparsity=286862.390381, overall=70.615053 < 29.169482
Iteration 25 PSNR_ROI=30.25059773 dB, data_fidel=0.091208, data_consist=0.051928, sparsity=288679.330322, overall=65.527598 < 29.169482
Iteration 26 PSNR_ROI=30.25521925 dB, data_fidel=0.067272, data_consist=0.179138, sparsity=290580.458008, overall=58.904686 < 29.169482
Processing SIRA: 34395.05 ms
RESULT SIRA IMAGE=mouse RADIUS=24 PSNR=30.255219 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_24.png
Processing SIRA roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.6591796875
iteration 3 err=191.171340942383
iteration 4 err=53.2240371704102
iteration 5 err=9.53465461730957
iteration 6 err=3.7973268032074
iteration 7 err=1.81045794487
iteration 8 err=1.56419491767883
iteration 9 err=1.35005569458008
iteration 10 err=1.06120038032532
iteration 11 err=0.377644658088684
iteration 12 err=0.244834825396538
iteration 13 err=0.168451637029648
iteration 14 err=0.0963837876915932
iteration 15 err=0.0856997817754745
iteration 16 err=0.066851519048214
iteration 17 err=0.112779781222343
iteration 18 err=0.0489299930632114
iteration 19 err=0.0358794331550598
iteration 20 err=0.0287895277142525
CG iteration 1 err=11545.609375
CG iteration 2 err=8.46002292633057
CG iteration 3 err=2.44759654998779
CG iteration 4 err=0.734148144721985
CG iteration 5 err=0.198843106627464
CG iteration 6 err=0.110105440020561
CG iteration 7 err=0.0740839093923569
CG iteration 8 err=0.0838375240564346
CG iteration 9 err=0.105883210897446
CG iteration 10 err=0.0678999647498131
CG iteration 11 err=0.055849764496088
CG iteration 12 err=0.0364394895732403
CG iteration 13 err=0.0210069101303816
CG iteration 14 err=0.015257122926414
CG iteration 15 err=0.014543816447258
CG iteration 16 err=0.0160561557859182
CG iteration 17 err=0.0292983166873455
CG iteration 18 err=0.00985995307564735
CG iteration 19 err=0.00773919373750687
CG iteration 20 err=0.00983722042292356
L2 solution PSNR_ROI=22.1929014588947
init v=492.094909667969 u=724.129699707031 u0=133877.90625
solution space=(alpha>=1 OR 0.030850<beta<=184.881115)
Iteration 1 PSNR_ROI=22.52354155 dB, data_fidel=708.674438, data_consist=17.851568, sparsity=265471.991821, overall=463147.672565 < 27.135828
Iteration 2 PSNR_ROI=22.53510756 dB, data_fidel=0.547936, data_consist=9.723883, sparsity=266072.445801, overall=1061.234452 < 27.135828
Iteration 3 PSNR_ROI=22.82074103 dB, data_fidel=0.880560, data_consist=4.551642, sparsity=266688.490845, overall=903.473733 < 27.135828
Iteration 4 PSNR_ROI=22.99098132 dB, data_fidel=1.062363, data_consist=1.100199, sparsity=267321.150146, overall=772.028478 < 27.135828
Iteration 5 PSNR_ROI=23.18518361 dB, data_fidel=1.028960, data_consist=0.277550, sparsity=268135.622803, overall=690.688412 < 27.135828
Iteration 6 PSNR_ROI=23.58861368 dB, data_fidel=0.809688, data_consist=1.242068, sparsity=268852.012573, overall=617.629116 < 27.135828
Iteration 7 PSNR_ROI=23.71979065 dB, data_fidel=0.505245, data_consist=3.061777, sparsity=269629.822388, overall=550.988719 < 27.135828
Iteration 8 PSNR_ROI=23.92869810 dB, data_fidel=0.225714, data_consist=4.754930, sparsity=270436.625488, overall=491.420450 < 27.135828
Iteration 9 PSNR_ROI=24.16695637 dB, data_fidel=0.052684, data_consist=5.576561, sparsity=271274.419312, overall=438.150640 < 27.135828
Iteration 10 PSNR_ROI=24.38912002 dB, data_fidel=0.014963, data_consist=5.266898, sparsity=272145.287476, overall=391.143240 < 27.135828
Iteration 11 PSNR_ROI=24.62746123 dB, data_fidel=0.087505, data_consist=4.041109, sparsity=273050.543579, overall=349.657250 < 27.135828
Iteration 12 PSNR_ROI=24.85651076 dB, data_fidel=0.211285, data_consist=2.426094, sparsity=274008.187378, overall=313.378481 < 27.135828
Iteration 13 PSNR_ROI=25.15112248 dB, data_fidel=0.320227, data_consist=0.995815, sparsity=274998.771606, overall=280.807186 < 27.135828
Iteration 14 PSNR_ROI=25.40163203 dB, data_fidel=0.368439, data_consist=0.168757, sparsity=276059.666138, overall=252.338314 < 27.135828
Iteration 15 PSNR_ROI=25.71148153 dB, data_fidel=0.341391, data_consist=0.060471, sparsity=277188.121582, overall=226.869049 < 27.135828
Iteration 16 PSNR_ROI=25.98368606 dB, data_fidel=0.256979, data_consist=0.511386, sparsity=278376.272095, overall=204.508764 < 27.135828
Iteration 17 PSNR_ROI=26.30355780 dB, data_fidel=0.151473, data_consist=1.194039, sparsity=279636.537354, overall=185.181219 < 27.135828
Iteration 18 PSNR_ROI=26.73123569 dB, data_fidel=0.061098, data_consist=1.746283, sparsity=280959.336182, overall=166.272157 < 27.135828
Iteration 19 PSNR_ROI=27.02395407 dB, data_fidel=0.013215, data_consist=1.965423, sparsity=282349.845947, overall=150.934841 < 27.135828
Iteration 20 PSNR_ROI=27.55399163 dB, data_fidel=0.010970, data_consist=1.763571, sparsity=283827.685791, overall=134.854819 < 27.135828
Iteration 21 PSNR_ROI=27.88676864 dB, data_fidel=0.044432, data_consist=1.291672, sparsity=285351.222168, overall=122.490680 < 27.135828
Iteration 22 PSNR_ROI=28.43556653 dB, data_fidel=0.089053, data_consist=0.718942, sparsity=286960.963379, overall=110.098109 < 27.135828
Iteration 23 PSNR_ROI=28.80161146 dB, data_fidel=0.124388, data_consist=0.259043, sparsity=288651.691895, overall=99.823841 < 27.135828
Iteration 24 PSNR_ROI=29.22193770 dB, data_fidel=0.136070, data_consist=0.037744, sparsity=290478.074707, overall=91.412138 < 27.135828
Iteration 25 PSNR_ROI=29.58176547 dB, data_fidel=0.123375, data_consist=0.062078, sparsity=292396.314209, overall=84.900507 < 27.135828
Iteration 26 PSNR_ROI=30.00159037 dB, data_fidel=0.090115, data_consist=0.244328, sparsity=294401.178955, overall=76.422296 < 27.135828
Processing SIRA: 34205.05 ms
RESULT SIRA IMAGE=mouse RADIUS=32 PSNR=30.001591 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_32.png
Processing SIRA roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65808105469
iteration 3 err=191.17121887207
iteration 4 err=53.224006652832
iteration 5 err=9.53465747833252
iteration 6 err=3.79766798019409
iteration 7 err=1.84340536594391
iteration 8 err=2.66215133666992
iteration 9 err=1.47083556652069
iteration 10 err=0.789343118667603
iteration 11 err=0.376263678073883
iteration 12 err=0.244826972484589
iteration 13 err=0.16845215857029
iteration 14 err=0.0964583307504654
iteration 15 err=0.0982717126607895
iteration 16 err=0.175581842660904
iteration 17 err=0.0755079612135887
iteration 18 err=0.0373174622654915
iteration 19 err=0.0358332097530365
iteration 20 err=0.0284911617636681
CG iteration 1 err=22000.712890625
CG iteration 2 err=16.6172409057617
CG iteration 3 err=3.93946290016174
CG iteration 4 err=1.25729930400848
CG iteration 5 err=0.306634396314621
CG iteration 6 err=0.164991661906242
CG iteration 7 err=0.128648042678833
CG iteration 8 err=0.238140627741814
CG iteration 9 err=0.0753832831978798
CG iteration 10 err=0.0491749309003353
CG iteration 11 err=0.0452625975012779
CG iteration 12 err=0.0424589700996876
CG iteration 13 err=0.0256771892309189
CG iteration 14 err=0.0308085158467293
CG iteration 15 err=0.0837004110217094
CG iteration 16 err=0.0136049147695303
CG iteration 17 err=0.0150734549388289
CG iteration 18 err=0.0145955625921488
CG iteration 19 err=0.010892235673964
CG iteration 20 err=0.019456883892417
L2 solution PSNR_ROI=24.5432799222993
init v=504.364318847656 u=707.213806152344 u0=116823.1796875
solution space=(alpha>=1 OR 0.024182<beta<=165.187923)
Iteration 1 PSNR_ROI=24.88648678 dB, data_fidel=684.315186, data_consist=26.674654, sparsity=276734.739380, overall=437447.900639 < 25.882833
Iteration 2 PSNR_ROI=25.08680826 dB, data_fidel=0.830165, data_consist=13.674567, sparsity=277322.514160, overall=1495.477722 < 25.882833
Iteration 3 PSNR_ROI=25.20821927 dB, data_fidel=1.312218, data_consist=7.015501, sparsity=277900.104980, overall=1331.362510 < 25.882833
Iteration 4 PSNR_ROI=25.35408654 dB, data_fidel=1.580146, data_consist=1.968339, sparsity=278556.521973, overall=1144.954446 < 25.882833
Iteration 5 PSNR_ROI=25.59147863 dB, data_fidel=1.527042, data_consist=0.413957, sparsity=279286.902588, overall=1001.226533 < 25.882833
Iteration 6 PSNR_ROI=25.84275618 dB, data_fidel=1.201253, data_consist=1.863108, sparsity=280078.613403, overall=896.350272 < 25.882833
Iteration 7 PSNR_ROI=26.04187133 dB, data_fidel=0.748503, data_consist=4.580847, sparsity=280924.540283, overall=800.380048 < 25.882833
Iteration 8 PSNR_ROI=26.23765723 dB, data_fidel=0.333399, data_consist=7.094994, sparsity=281795.974121, overall=713.973376 < 25.882833
Iteration 9 PSNR_ROI=26.45169363 dB, data_fidel=0.077743, data_consist=8.320336, sparsity=282713.411377, overall=637.908808 < 25.882833
Iteration 10 PSNR_ROI=26.66005453 dB, data_fidel=0.023898, data_consist=7.847298, sparsity=283659.955688, overall=570.182459 < 25.882833
Iteration 11 PSNR_ROI=26.85992415 dB, data_fidel=0.134163, data_consist=6.007358, sparsity=284668.739502, overall=510.242471 < 25.882833
Iteration 12 PSNR_ROI=27.12713608 dB, data_fidel=0.318583, data_consist=3.589676, sparsity=285691.963989, overall=456.642543 < 25.882833
Iteration 13 PSNR_ROI=27.35577807 dB, data_fidel=0.480262, data_consist=1.475389, sparsity=286770.890137, overall=410.024446 < 25.882833
Iteration 14 PSNR_ROI=27.60921426 dB, data_fidel=0.550448, data_consist=0.254859, sparsity=287920.356934, overall=368.379710 < 25.882833
Iteration 15 PSNR_ROI=27.84174111 dB, data_fidel=0.509910, data_consist=0.108703, sparsity=289132.963135, overall=332.241376 < 25.882833
Iteration 16 PSNR_ROI=28.15272421 dB, data_fidel=0.384093, data_consist=0.775279, sparsity=290417.773926, overall=299.301045 < 25.882833
Iteration 17 PSNR_ROI=28.47538274 dB, data_fidel=0.226338, data_consist=1.770216, sparsity=291772.697510, overall=269.254649 < 25.882833
Iteration 18 PSNR_ROI=28.79969922 dB, data_fidel=0.092617, data_consist=2.591276, sparsity=293180.912109, overall=242.208648 < 25.882833
Iteration 19 PSNR_ROI=29.10664561 dB, data_fidel=0.021133, data_consist=2.898142, sparsity=294666.733887, overall=218.411743 < 25.882833
Iteration 20 PSNR_ROI=29.51222930 dB, data_fidel=0.018517, data_consist=2.612228, sparsity=296248.524658, overall=196.526111 < 25.882833
Iteration 21 PSNR_ROI=29.87226841 dB, data_fidel=0.067310, data_consist=1.904034, sparsity=297887.237549, overall=177.498071 < 25.882833
Iteration 22 PSNR_ROI=30.25911949 dB, data_fidel=0.134578, data_consist=1.066464, sparsity=299605.923828, overall=161.079423 < 25.882833
Iteration 23 PSNR_ROI=30.67598388 dB, data_fidel=0.186834, data_consist=0.383074, sparsity=301413.723389, overall=146.010213 < 25.882833
Iteration 24 PSNR_ROI=31.03802894 dB, data_fidel=0.204799, data_consist=0.046463, sparsity=303317.137451, overall=133.638734 < 25.882833
Iteration 25 PSNR_ROI=31.43088454 dB, data_fidel=0.183337, data_consist=0.067308, sparsity=305298.544678, overall=121.453025 < 25.882833
Iteration 26 PSNR_ROI=31.70946401 dB, data_fidel=0.137021, data_consist=0.353356, sparsity=307409.105713, overall=112.202378 < 25.882833
Processing SIRA: 34105.05 ms
RESULT SIRA IMAGE=mouse RADIUS=48 PSNR=31.709465 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_48.png
Processing SIRA roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65783691406
iteration 3 err=191.171173095703
iteration 4 err=53.2239952087402
iteration 5 err=9.53466606140137
iteration 6 err=3.79849481582642
iteration 7 err=1.92266190052032
iteration 8 err=3.67948794364929
iteration 9 err=1.26865780353546
iteration 10 err=0.778531849384308
iteration 11 err=0.376215934753418
iteration 12 err=0.24482673406601
iteration 13 err=0.168454006314278
iteration 14 err=0.096580982208252
iteration 15 err=0.11757305264473
iteration 16 err=0.147563397884369
iteration 17 err=0.0722541213035584
iteration 18 err=0.0373100303113461
iteration 19 err=0.0358358398079872
iteration 20 err=0.0285599660128355
CG iteration 1 err=34191.48046875
CG iteration 2 err=25.7049198150635
CG iteration 3 err=5.11047983169556
CG iteration 4 err=1.59084761142731
CG iteration 5 err=0.478713274002075
CG iteration 6 err=0.229170247912407
CG iteration 7 err=0.210029363632202
CG iteration 8 err=0.233781978487968
CG iteration 9 err=0.0990808308124542
CG iteration 10 err=0.0680758282542229
CG iteration 11 err=0.0476712621748447
CG iteration 12 err=0.0525496676564217
CG iteration 13 err=0.0378067046403885
CG iteration 14 err=0.032219547778368
CG iteration 15 err=0.0267275236546993
CG iteration 16 err=0.0555610582232475
CG iteration 17 err=0.0176865272223949
CG iteration 18 err=0.0116313425824046
CG iteration 19 err=0.0121812717989087
CG iteration 20 err=0.0122001087293029
L2 solution PSNR_ROI=26.3627666649283
init v=526.183715820313 u=682.850463867188 u0=101011.65625
solution space=(alpha>=1 OR 0.014928<beta<=147.926466)
Iteration 1 PSNR_ROI=26.68567757 dB, data_fidel=653.477356, data_consist=34.729721, sparsity=287240.778809, overall=403976.104692 < 24.130236
Iteration 2 PSNR_ROI=26.71899325 dB, data_fidel=1.100224, data_consist=17.273754, sparsity=287930.875854, overall=1855.698588 < 24.130236
Iteration 3 PSNR_ROI=26.86110018 dB, data_fidel=1.711507, data_consist=8.992750, sparsity=288576.445313, overall=1665.903207 < 24.130236
Iteration 4 PSNR_ROI=27.03197788 dB, data_fidel=2.048735, data_consist=3.295517, sparsity=289269.198730, overall=1484.116183 < 24.130236
Iteration 5 PSNR_ROI=27.33135044 dB, data_fidel=1.984411, data_consist=0.895605, sparsity=290033.975464, overall=1280.706733 < 24.130236
Iteration 6 PSNR_ROI=27.64754974 dB, data_fidel=1.564239, data_consist=2.482806, sparsity=290831.970459, overall=1130.865909 < 24.130236
Iteration 7 PSNR_ROI=27.83779703 dB, data_fidel=0.976984, data_consist=6.038350, sparsity=291720.935059, overall=1012.749323 < 24.130236
Iteration 8 PSNR_ROI=28.14105779 dB, data_fidel=0.437905, data_consist=9.277015, sparsity=292668.475708, overall=902.602604 < 24.130236
Iteration 9 PSNR_ROI=28.38101553 dB, data_fidel=0.105869, data_consist=10.812878, sparsity=293650.287109, overall=803.421308 < 24.130236
Iteration 10 PSNR_ROI=28.61886067 dB, data_fidel=0.034949, data_consist=10.181797, sparsity=294621.756836, overall=716.742772 < 24.130236
Iteration 11 PSNR_ROI=28.83454623 dB, data_fidel=0.177128, data_consist=7.797919, sparsity=295671.774170, overall=641.337749 < 24.130236
Iteration 12 PSNR_ROI=29.10543809 dB, data_fidel=0.415717, data_consist=4.668894, sparsity=296765.666260, overall=574.300743 < 24.130236
Iteration 13 PSNR_ROI=29.34264274 dB, data_fidel=0.624977, data_consist=1.925665, sparsity=297909.394043, overall=515.583608 < 24.130236
Iteration 14 PSNR_ROI=29.62776579 dB, data_fidel=0.716262, data_consist=0.345115, sparsity=299109.546143, overall=463.756273 < 24.130236
Iteration 15 PSNR_ROI=29.90088720 dB, data_fidel=0.664369, data_consist=0.152975, sparsity=300409.860840, overall=418.744088 < 24.130236
Iteration 16 PSNR_ROI=30.26552094 dB, data_fidel=0.501611, data_consist=1.010950, sparsity=301797.151123, overall=377.305454 < 24.130236
Iteration 17 PSNR_ROI=30.61014691 dB, data_fidel=0.297898, data_consist=2.298242, sparsity=303262.504395, overall=340.013465 < 24.130236
Iteration 18 PSNR_ROI=30.99516505 dB, data_fidel=0.125284, data_consist=3.363453, sparsity=304802.669922, overall=306.668734 < 24.130236
Iteration 19 PSNR_ROI=31.35525122 dB, data_fidel=0.032445, data_consist=3.756307, sparsity=306410.508545, overall=276.439125 < 24.130236
Iteration 20 PSNR_ROI=31.76381430 dB, data_fidel=0.030442, data_consist=3.397998, sparsity=308089.888184, overall=250.740760 < 24.130236
Iteration 21 PSNR_ROI=32.24849177 dB, data_fidel=0.093853, data_consist=2.471556, sparsity=309854.846680, overall=226.449229 < 24.130236
Iteration 22 PSNR_ROI=32.66376066 dB, data_fidel=0.180440, data_consist=1.384761, sparsity=311683.743896, overall=205.450728 < 24.130236
Iteration 23 PSNR_ROI=33.03863431 dB, data_fidel=0.248575, data_consist=0.499334, sparsity=313590.055908, overall=186.862559 < 24.130236
Iteration 24 PSNR_ROI=33.38704391 dB, data_fidel=0.273975, data_consist=0.073316, sparsity=315653.150879, overall=173.381898 < 24.130236
Iteration 25 PSNR_ROI=33.75224029 dB, data_fidel=0.246583, data_consist=0.093295, sparsity=317795.353760, overall=157.911796 < 24.130236
Iteration 26 PSNR_ROI=33.91872398 dB, data_fidel=0.189791, data_consist=0.479243, sparsity=320087.251953, overall=149.363873 < 24.130236
Processing SIRA: 34120.05 ms
RESULT SIRA IMAGE=mouse RADIUS=64 PSNR=33.918724 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_64.png
Processing SIRA roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65856933594
iteration 3 err=191.171203613281
iteration 4 err=53.2239761352539
iteration 5 err=9.53464698791504
iteration 6 err=3.79731822013855
iteration 7 err=1.80997538566589
iteration 8 err=1.54258692264557
iteration 9 err=1.22684729099274
iteration 10 err=1.15856969356537
iteration 11 err=0.378250807523727
iteration 12 err=0.244837909936905
iteration 13 err=0.168451339006424
iteration 14 err=0.0963834002614021
iteration 15 err=0.0856863260269165
iteration 16 err=0.0662920698523521
iteration 17 err=0.0423913672566414
iteration 18 err=0.16237410902977
iteration 19 err=0.0366237685084343
iteration 20 err=0.0286725293844938
CG iteration 1 err=47591.4296875
CG iteration 2 err=35.5574378967285
CG iteration 3 err=5.95090579986572
CG iteration 4 err=1.89103436470032
CG iteration 5 err=0.637680947780609
CG iteration 6 err=0.358775794506073
CG iteration 7 err=0.487058103084564
CG iteration 8 err=0.215188890695572
CG iteration 9 err=0.115244053304195
CG iteration 10 err=0.0861509367823601
CG iteration 11 err=0.0513516627252102
CG iteration 12 err=0.0614872463047504
CG iteration 13 err=0.0493446737527847
CG iteration 14 err=0.0496446527540684
CG iteration 15 err=0.0772509798407555
CG iteration 16 err=0.0276557747274637
CG iteration 17 err=0.0189614314585924
CG iteration 18 err=0.0239419098943472
CG iteration 19 err=0.0212024562060833
CG iteration 20 err=0.0106019638478756
L2 solution PSNR_ROI=29.6618718718498
init v=558.76513671875 u=647.795166015625 u0=89943.1015625
solution space=(alpha>=1 OR 0.005077<beta<=138.844972)
Iteration 1 PSNR_ROI=30.07898016 dB, data_fidel=612.518372, data_consist=44.169456, sparsity=300252.216553, overall=359969.072225 < 21.716296
Iteration 2 PSNR_ROI=29.67592104 dB, data_fidel=1.392497, data_consist=21.047779, sparsity=300952.403076, overall=2175.312603 < 21.716296
Iteration 3 PSNR_ROI=30.06786941 dB, data_fidel=2.104832, data_consist=10.591027, sparsity=301641.864014, overall=1913.231583 < 21.716296
Iteration 4 PSNR_ROI=30.29883100 dB, data_fidel=2.471606, data_consist=5.097789, sparsity=302376.533569, overall=1771.217560 < 21.716296
Iteration 5 PSNR_ROI=30.76761460 dB, data_fidel=2.388681, data_consist=2.295394, sparsity=303188.397705, overall=1541.332768 < 21.716296
Iteration 6 PSNR_ROI=31.23952556 dB, data_fidel=1.895864, data_consist=3.399361, sparsity=304078.163330, overall=1325.527080 < 21.716296
Iteration 7 PSNR_ROI=31.80417883 dB, data_fidel=1.192557, data_consist=7.331671, sparsity=305029.499512, overall=1170.221468 < 21.716296
Iteration 8 PSNR_ROI=32.29406206 dB, data_fidel=0.540328, data_consist=11.312942, sparsity=306034.722656, overall=1047.866823 < 21.716296
Iteration 9 PSNR_ROI=32.63236041 dB, data_fidel=0.137815, data_consist=13.144075, sparsity=307068.878662, overall=931.815082 < 21.716296
Iteration 10 PSNR_ROI=32.99185031 dB, data_fidel=0.050344, data_consist=12.295369, sparsity=308135.151123, overall=825.839658 < 21.716296
Iteration 11 PSNR_ROI=33.30261518 dB, data_fidel=0.218399, data_consist=9.406483, sparsity=309220.758057, overall=736.677552 < 21.716296
Iteration 12 PSNR_ROI=33.66334238 dB, data_fidel=0.504060, data_consist=5.662642, sparsity=310364.070068, overall=660.698267 < 21.716296
Iteration 13 PSNR_ROI=33.95096531 dB, data_fidel=0.756415, data_consist=2.353970, sparsity=311568.774658, overall=593.490521 < 21.716296
Iteration 14 PSNR_ROI=34.30310504 dB, data_fidel=0.866810, data_consist=0.429869, sparsity=312851.521729, overall=533.210229 < 21.716296
Iteration 15 PSNR_ROI=34.53408701 dB, data_fidel=0.804867, data_consist=0.186334, sparsity=314218.361328, overall=481.320396 < 21.716296
Iteration 16 PSNR_ROI=34.96987054 dB, data_fidel=0.607960, data_consist=1.235944, sparsity=315680.270264, overall=434.514286 < 21.716296
Iteration 17 PSNR_ROI=35.12175294 dB, data_fidel=0.364369, data_consist=2.796130, sparsity=317224.025879, overall=393.564585 < 21.716296
Iteration 18 PSNR_ROI=35.47759060 dB, data_fidel=0.157641, data_consist=4.061748, sparsity=318836.748779, overall=355.025058 < 21.716296
Iteration 19 PSNR_ROI=35.66548076 dB, data_fidel=0.053010, data_consist=4.584265, sparsity=320642.715576, overall=327.872181 < 21.716296
Iteration 20 PSNR_ROI=35.90129521 dB, data_fidel=0.052932, data_consist=4.088305, sparsity=322521.768555, overall=295.698834 < 21.716296
Iteration 21 PSNR_ROI=36.03134251 dB, data_fidel=0.124756, data_consist=3.000889, sparsity=324359.373291, overall=267.131041 < 21.716296
Iteration 22 PSNR_ROI=35.89927028 dB, data_fidel=0.230913, data_consist=1.661731, sparsity=326291.828125, overall=242.271964 < 21.716296
Iteration 23 PSNR_ROI=35.73859472 dB, data_fidel=0.314283, data_consist=0.615074, sparsity=328345.136230, overall=223.076305 < 21.716296
Iteration 24 PSNR_ROI=35.35479857 dB, data_fidel=0.343195, data_consist=0.078519, sparsity=330507.000244, overall=205.174579 < 21.716296
Iteration 25 PSNR_ROI=34.90179239 dB, data_fidel=0.313184, data_consist=0.134610, sparsity=332784.099854, overall=191.311325 < 21.716296
Iteration 26 PSNR_ROI=34.36586184 dB, data_fidel=0.240655, data_consist=0.582962, sparsity=335201.683594, overall=178.069802 < 21.716296
Processing SIRA: 34170.05 ms
RESULT SIRA IMAGE=mouse RADIUS=80 PSNR=34.365862 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_80.png
Processing SIRA roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65893554688
iteration 3 err=191.171295166016
iteration 4 err=53.2240257263184
iteration 5 err=9.53465461730957
iteration 6 err=3.79732871055603
iteration 7 err=1.81073772907257
iteration 8 err=1.57668030261993
iteration 9 err=1.4078586101532
iteration 10 err=1.02419483661652
iteration 11 err=0.377433359622955
iteration 12 err=0.244834303855896
iteration 13 err=0.168452069163322
iteration 14 err=0.096384271979332
iteration 15 err=0.0857195481657982
iteration 16 err=0.0676834210753441
iteration 17 err=0.172913402318954
iteration 18 err=0.0422107465565205
iteration 19 err=0.0358506552875042
iteration 20 err=0.0285444650799036
CG iteration 1 err=61638.328125
CG iteration 2 err=43.0928840637207
CG iteration 3 err=6.41868114471436
CG iteration 4 err=2.16840171813965
CG iteration 5 err=0.80993664264679
CG iteration 6 err=0.462220788002014
CG iteration 7 err=0.246698930859566
CG iteration 8 err=0.374108672142029
CG iteration 9 err=0.138356849551201
CG iteration 10 err=0.0936533361673355
CG iteration 11 err=0.0559158846735954
CG iteration 12 err=0.0671936273574829
CG iteration 13 err=0.0571480020880699
CG iteration 14 err=0.039151418954134
CG iteration 15 err=0.053603071719408
CG iteration 16 err=0.0611243471503258
CG iteration 17 err=0.0380072630941868
CG iteration 18 err=0.0250268168747425
CG iteration 19 err=0.0168505720794201
CG iteration 20 err=0.0198769308626652
L2 solution PSNR_ROI=32.5538962571789
init v=562.998046875 u=561.110229492188 u0=76774.0546875
solution space=(alpha>=1 OR 0.000003<beta<=136.825263)
Iteration 1 PSNR_ROI=32.84276783 dB, data_fidel=520.185791, data_consist=57.024170, sparsity=310053.228027, overall=265893.096225 < 16.293213
Iteration 2 PSNR_ROI=32.49359192 dB, data_fidel=1.764597, data_consist=26.864021, sparsity=310732.706299, overall=2398.487890 < 16.293213
Iteration 3 PSNR_ROI=32.62899506 dB, data_fidel=2.610220, data_consist=11.547763, sparsity=311414.490234, overall=1966.115794 < 16.293213
Iteration 4 PSNR_ROI=32.88766580 dB, data_fidel=2.961954, data_consist=6.383278, sparsity=312149.964111, overall=1853.956638 < 16.293213
Iteration 5 PSNR_ROI=33.44225355 dB, data_fidel=2.799109, data_consist=4.920814, sparsity=312968.625000, overall=1689.659577 < 16.293213
Iteration 6 PSNR_ROI=34.18125400 dB, data_fidel=2.217387, data_consist=6.082041, sparsity=313885.455078, overall=1461.048066 < 16.293213
Iteration 7 PSNR_ROI=34.96425999 dB, data_fidel=1.419913, data_consist=9.534353, sparsity=314875.086426, overall=1252.037460 < 16.293213
Iteration 8 PSNR_ROI=35.65941661 dB, data_fidel=0.673714, data_consist=13.541698, sparsity=315895.683105, overall=1100.063670 < 16.293213
Iteration 9 PSNR_ROI=35.97910484 dB, data_fidel=0.206189, data_consist=15.740271, sparsity=316949.540283, overall=987.327985 < 16.293213
Iteration 10 PSNR_ROI=36.58422821 dB, data_fidel=0.099504, data_consist=14.728546, sparsity=318035.171631, overall=876.683138 < 16.293213
Iteration 11 PSNR_ROI=36.78112125 dB, data_fidel=0.291676, data_consist=11.191665, sparsity=319195.592773, overall=775.271655 < 16.293213
Iteration 12 PSNR_ROI=36.98872082 dB, data_fidel=0.614458, data_consist=6.667703, sparsity=320376.297363, overall=684.432643 < 16.293213
Iteration 13 PSNR_ROI=37.01541825 dB, data_fidel=0.897923, data_consist=2.828843, sparsity=321614.526123, overall=612.179633 < 16.293213
Iteration 14 PSNR_ROI=37.15500026 dB, data_fidel=1.018512, data_consist=0.681814, sparsity=322928.958008, overall=552.604825 < 16.293213
Iteration 15 PSNR_ROI=37.32783444 dB, data_fidel=0.941740, data_consist=0.404662, sparsity=324336.466797, overall=498.283890 < 16.293213
Iteration 16 PSNR_ROI=37.43642792 dB, data_fidel=0.712737, data_consist=1.599088, sparsity=325841.644287, overall=449.658290 < 16.293213
Iteration 17 PSNR_ROI=37.23094320 dB, data_fidel=0.431121, data_consist=3.327766, sparsity=327444.322021, overall=404.439991 < 16.293213
Iteration 18 PSNR_ROI=37.23311325 dB, data_fidel=0.190809, data_consist=4.752191, sparsity=329107.721924, overall=363.008562 < 16.293213
Iteration 19 PSNR_ROI=36.95914968 dB, data_fidel=0.065586, data_consist=5.311293, sparsity=330868.824707, overall=331.142954 < 16.293213
Iteration 20 PSNR_ROI=36.69873424 dB, data_fidel=0.063259, data_consist=4.782341, sparsity=332687.387939, overall=300.287843 < 16.293213
Iteration 21 PSNR_ROI=36.38370857 dB, data_fidel=0.152892, data_consist=3.519080, sparsity=334607.635010, overall=274.669436 < 16.293213
Iteration 22 PSNR_ROI=35.84777047 dB, data_fidel=0.279051, data_consist=1.981962, sparsity=336621.811523, overall=252.130376 < 16.293213
Iteration 23 PSNR_ROI=35.32137696 dB, data_fidel=0.380652, data_consist=0.761596, sparsity=338731.841553, overall=234.962867 < 16.293213
Iteration 24 PSNR_ROI=34.74661561 dB, data_fidel=0.417076, data_consist=0.124981, sparsity=340971.998535, overall=217.635894 < 16.293213
Iteration 25 PSNR_ROI=34.07038176 dB, data_fidel=0.387185, data_consist=0.176231, sparsity=343316.242920, overall=205.416575 < 16.293213
Iteration 26 PSNR_ROI=33.38813693 dB, data_fidel=0.306691, data_consist=0.690317, sparsity=345801.864746, overall=193.612901 < 16.293213
Processing SIRA: 34195.05 ms
RESULT SIRA IMAGE=mouse RADIUS=96 PSNR=33.388137 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_96.png
Processing SIRA roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65966796875
iteration 3 err=191.171432495117
iteration 4 err=53.224063873291
iteration 5 err=9.53466320037842
iteration 6 err=3.797691822052
iteration 7 err=1.84566068649292
iteration 8 err=2.71566390991211
iteration 9 err=1.45687413215637
iteration 10 err=0.788396596908569
iteration 11 err=0.376259714365005
iteration 12 err=0.244827196002007
iteration 13 err=0.168451488018036
iteration 14 err=0.0963994935154915
iteration 15 err=0.0884194672107697
iteration 16 err=0.139957919716835
iteration 17 err=0.0935682132840157
iteration 18 err=0.0373655408620834
iteration 19 err=0.0358599424362183
iteration 20 err=0.029295077547431
CG iteration 1 err=88794.046875
CG iteration 2 err=49.3359870910645
CG iteration 3 err=8.9141263961792
CG iteration 4 err=4.3135461807251
CG iteration 5 err=1.91377079486847
CG iteration 6 err=0.65921825170517
CG iteration 7 err=0.403708040714264
CG iteration 8 err=0.691323280334473
CG iteration 9 err=0.193471878767014
CG iteration 10 err=0.133868113160133
CG iteration 11 err=0.0839042887091637
CG iteration 12 err=0.101704314351082
CG iteration 13 err=0.066740982234478
CG iteration 14 err=0.0617287568747997
CG iteration 15 err=0.0664019882678986
CG iteration 16 err=0.142554938793182
CG iteration 17 err=0.0340387411415577
CG iteration 18 err=0.0249671582132578
CG iteration 19 err=0.0275532547384501
CG iteration 20 err=0.0197652168571949
L2 solution PSNR_ROI=32.5812700594091
init v=499.6318359375 u=472.305084228516 u0=51291.421875
solution space=(alpha>=1 OR 0.000814<beta<=108.598073)
Iteration 1 PSNR_ROI=32.57166760 dB, data_fidel=420.634186, data_consist=75.905922, sparsity=323400.053955, overall=182385.973380 < 11.543981
Iteration 2 PSNR_ROI=31.61210525 dB, data_fidel=2.281502, data_consist=38.459949, sparsity=324064.287354, overall=2786.291467 < 11.543981
Iteration 3 PSNR_ROI=32.06594138 dB, data_fidel=3.487534, data_consist=15.796102, sparsity=324727.580566, overall=2228.519761 < 11.543981
Iteration 4 PSNR_ROI=32.57669448 dB, data_fidel=4.006433, data_consist=5.744138, sparsity=325458.889893, overall=1974.331585 < 11.543981
Iteration 5 PSNR_ROI=33.21882712 dB, data_fidel=3.730693, data_consist=4.387855, sparsity=326267.394775, overall=1793.063514 < 11.543981
Iteration 6 PSNR_ROI=33.78482134 dB, data_fidel=2.872938, data_consist=8.719594, sparsity=327174.838379, overall=1633.043826 < 11.543981
Iteration 7 PSNR_ROI=34.16416534 dB, data_fidel=1.806938, data_consist=14.749650, sparsity=328187.627930, overall=1464.716844 < 11.543981
Iteration 8 PSNR_ROI=34.24718996 dB, data_fidel=0.890285, data_consist=19.321688, sparsity=329204.465332, overall=1291.010583 < 11.543981
Iteration 9 PSNR_ROI=34.66029814 dB, data_fidel=0.342891, data_consist=20.708452, sparsity=330261.322754, overall=1123.825040 < 11.543981
Iteration 10 PSNR_ROI=34.66347650 dB, data_fidel=0.233173, data_consist=18.961340, sparsity=331342.685547, overall=994.669658 < 11.543981
Iteration 11 PSNR_ROI=34.62981124 dB, data_fidel=0.472857, data_consist=14.690780, sparsity=332452.871582, overall=894.852494 < 11.543981
Iteration 12 PSNR_ROI=34.41195034 dB, data_fidel=0.873594, data_consist=9.143250, sparsity=333601.956787, overall=803.183093 < 11.543981
Iteration 13 PSNR_ROI=34.32933543 dB, data_fidel=1.221779, data_consist=4.144485, sparsity=334812.834717, overall=715.093493 < 11.543981
Iteration 14 PSNR_ROI=34.19141576 dB, data_fidel=1.362197, data_consist=1.110518, sparsity=336105.495117, overall=631.485602 < 11.543981
Iteration 15 PSNR_ROI=34.10969371 dB, data_fidel=1.239501, data_consist=0.596990, sparsity=337458.686279, overall=555.076702 < 11.543981
Iteration 16 PSNR_ROI=33.85023803 dB, data_fidel=0.936598, data_consist=2.419664, sparsity=338902.105469, overall=512.406144 < 11.543981
Iteration 17 PSNR_ROI=34.03630863 dB, data_fidel=0.557830, data_consist=4.580739, sparsity=340466.950439, overall=453.470075 < 11.543981
Iteration 18 PSNR_ROI=33.74604767 dB, data_fidel=0.250294, data_consist=6.507281, sparsity=342079.266357, overall=413.735899 < 11.543981
Iteration 19 PSNR_ROI=33.62425996 dB, data_fidel=0.092834, data_consist=7.205133, sparsity=343786.547852, overall=379.763347 < 11.543981
Iteration 20 PSNR_ROI=33.23160329 dB, data_fidel=0.110616, data_consist=6.415795, sparsity=345540.829346, overall=350.041203 < 11.543981
Iteration 21 PSNR_ROI=33.00698995 dB, data_fidel=0.246221, data_consist=4.586931, sparsity=347366.038818, overall=321.305209 < 11.543981
Iteration 22 PSNR_ROI=32.74081032 dB, data_fidel=0.411000, data_consist=2.611417, sparsity=349307.550537, overall=298.044264 < 11.543981
Iteration 23 PSNR_ROI=32.23193357 dB, data_fidel=0.537209, data_consist=0.989060, sparsity=351279.338623, overall=275.067663 < 11.543981
Iteration 24 PSNR_ROI=31.97362096 dB, data_fidel=0.583034, data_consist=0.230306, sparsity=353414.352051, overall=258.710375 < 11.543981
Iteration 25 PSNR_ROI=31.50379919 dB, data_fidel=0.527807, data_consist=0.347985, sparsity=355680.818604, overall=240.792888 < 11.543981
Iteration 26 PSNR_ROI=30.97940583 dB, data_fidel=0.425946, data_consist=1.069195, sparsity=358071.183838, overall=231.557402 < 11.543981
Processing SIRA: 34511.05 ms
RESULT SIRA IMAGE=mouse RADIUS=128 PSNR=30.979406 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_128.png
Processing SIRA roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65856933594
iteration 3 err=191.17121887207
iteration 4 err=53.2239761352539
iteration 5 err=9.53464794158936
iteration 6 err=3.79732179641724
iteration 7 err=1.81009531021118
iteration 8 err=1.54789412021637
iteration 9 err=1.26016998291016
iteration 10 err=1.12918770313263
iteration 11 err=0.378060638904572
iteration 12 err=0.244837433099747
iteration 13 err=0.168451696634293
iteration 14 err=0.0963837876915932
iteration 15 err=0.0857070237398148
iteration 16 err=0.0671750903129578
iteration 17 err=0.141005784273148
iteration 18 err=0.044892068952322
iteration 19 err=0.0358595550060272
iteration 20 err=0.0285824500024319
CG iteration 1 err=98444.3046875
CG iteration 2 err=61.0094718933105
CG iteration 3 err=16.8099727630615
CG iteration 4 err=6.95401763916016
CG iteration 5 err=2.6247227191925
CG iteration 6 err=0.786227166652679
CG iteration 7 err=0.441358864307404
CG iteration 8 err=1.05699527263641
CG iteration 9 err=0.239327669143677
CG iteration 10 err=0.167110681533813
CG iteration 11 err=0.120022863149643
CG iteration 12 err=0.109220162034035
CG iteration 13 err=0.0710238888859749
CG iteration 14 err=0.0646879225969315
CG iteration 15 err=0.068422757089138
CG iteration 16 err=0.21028271317482
CG iteration 17 err=0.0411851741373539
CG iteration 18 err=0.0291216466575861
CG iteration 19 err=0.0264090057462454
CG iteration 20 err=0.0239472799003124
L2 solution PSNR_ROI=34.0785214116632
init v=495.788513183594 u=426.560119628906 u0=43894.19921875
solution space=(alpha>=1 OR 0.006099<beta<=102.902726)
Iteration 1 PSNR_ROI=34.09896026 dB, data_fidel=371.136658, data_consist=82.122139, sparsity=328056.454346, overall=145983.890345 < 9.416095
Iteration 2 PSNR_ROI=32.66922207 dB, data_fidel=2.354480, data_consist=40.867649, sparsity=328677.749023, overall=2647.145299 < 9.416095
Iteration 3 PSNR_ROI=33.09994349 dB, data_fidel=3.615138, data_consist=18.382654, sparsity=329292.167236, overall=2171.996974 < 9.416095
Iteration 4 PSNR_ROI=33.62449530 dB, data_fidel=4.218254, data_consist=6.504388, sparsity=329989.106201, overall=1896.856135 < 9.416095
Iteration 5 PSNR_ROI=34.06335684 dB, data_fidel=3.999079, data_consist=3.809983, sparsity=330751.170410, overall=1697.781735 < 9.416095
Iteration 6 PSNR_ROI=34.91040245 dB, data_fidel=3.108872, data_consist=7.500518, sparsity=331673.431641, overall=1513.450998 < 9.416095
Iteration 7 PSNR_ROI=34.86763525 dB, data_fidel=1.938760, data_consist=14.188473, sparsity=332627.398926, overall=1349.521745 < 9.416095
Iteration 8 PSNR_ROI=35.20776982 dB, data_fidel=0.907299, data_consist=20.117468, sparsity=333634.242188, overall=1206.446711 < 9.416095
Iteration 9 PSNR_ROI=35.32029131 dB, data_fidel=0.299672, data_consist=22.411932, sparsity=334657.218750, overall=1071.049080 < 9.416095
Iteration 10 PSNR_ROI=35.22544426 dB, data_fidel=0.197095, data_consist=20.486151, sparsity=335682.156006, overall=949.523211 < 9.416095
Iteration 11 PSNR_ROI=34.99015100 dB, data_fidel=0.486587, data_consist=15.498350, sparsity=336713.301758, overall=847.900747 < 9.416095
Iteration 12 PSNR_ROI=34.86928149 dB, data_fidel=0.939077, data_consist=9.365324, sparsity=337782.805176, overall=760.002761 < 9.416095
Iteration 13 PSNR_ROI=34.65846422 dB, data_fidel=1.316571, data_consist=4.186971, sparsity=338900.899170, overall=684.036324 < 9.416095
Iteration 14 PSNR_ROI=34.29052516 dB, data_fidel=1.473992, data_consist=1.213117, sparsity=340113.303955, overall=617.618120 < 9.416095
Iteration 15 PSNR_ROI=34.16677731 dB, data_fidel=1.349301, data_consist=0.791436, sparsity=341463.952881, overall=551.761752 < 9.416095
Iteration 16 PSNR_ROI=33.70369390 dB, data_fidel=1.020252, data_consist=2.477785, sparsity=342867.333252, overall=497.371234 < 9.416095
Iteration 17 PSNR_ROI=33.66592852 dB, data_fidel=0.609701, data_consist=4.882560, sparsity=344379.654541, overall=442.337236 < 9.416095
Iteration 18 PSNR_ROI=33.20946007 dB, data_fidel=0.274831, data_consist=6.837689, sparsity=345933.780273, overall=397.177493 < 9.416095
Iteration 19 PSNR_ROI=32.93564330 dB, data_fidel=0.089356, data_consist=7.548942, sparsity=347495.819092, overall=356.311996 < 9.416095
Iteration 20 PSNR_ROI=32.68595421 dB, data_fidel=0.100018, data_consist=6.894017, sparsity=349131.878174, overall=332.468560 < 9.416095
Iteration 21 PSNR_ROI=32.36994998 dB, data_fidel=0.242803, data_consist=5.045903, sparsity=350866.375000, overall=308.451016 < 9.416095
Iteration 22 PSNR_ROI=32.02921106 dB, data_fidel=0.420487, data_consist=3.028064, sparsity=352728.424072, overall=290.591997 < 9.416095
Iteration 23 PSNR_ROI=31.54193985 dB, data_fidel=0.567326, data_consist=1.094305, sparsity=354703.211182, overall=264.477583 < 9.416095
Iteration 24 PSNR_ROI=31.12294815 dB, data_fidel=0.634703, data_consist=0.561045, sparsity=356704.132813, overall=267.597150 < 9.416095
Iteration 25 PSNR_ROI=30.83635873 dB, data_fidel=0.575510, data_consist=0.572598, sparsity=358838.792725, overall=245.365455 < 9.416095
Iteration 26 PSNR_ROI=30.36093405 dB, data_fidel=0.470710, data_consist=1.025344, sparsity=361123.129883, overall=224.444586 < 9.416095
Processing SIRA: 34400.05 ms
RESULT SIRA IMAGE=mouse RADIUS=140 PSNR=30.360934 TIME=0.100000 FILE=SIRA/recon_SIRA_mouse_140.png
Processing SIRA roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.185546875
iteration 3 err=1209.9619140625
iteration 4 err=269.338012695313
iteration 5 err=98.2791442871094
iteration 6 err=22.0612907409668
iteration 7 err=9.79483222961426
iteration 8 err=7.47919750213623
iteration 9 err=9.26934719085693
iteration 10 err=4.07579851150513
iteration 11 err=2.3210334777832
iteration 12 err=1.24723792076111
iteration 13 err=0.792611360549927
iteration 14 err=0.46677827835083
iteration 15 err=0.386806100606918
iteration 16 err=0.891190588474274
iteration 17 err=0.532499670982361
iteration 18 err=0.449600487947464
iteration 19 err=0.226207450032234
iteration 20 err=0.212881579995155
CG iteration 1 err=5128.40576171875
CG iteration 2 err=56.9621315002441
CG iteration 3 err=3.78298902511597
CG iteration 4 err=0.816739499568939
CG iteration 5 err=0.384616285562515
CG iteration 6 err=0.351428031921387
CG iteration 7 err=0.217052787542343
CG iteration 8 err=0.142604365944862
CG iteration 9 err=0.0924958363175392
CG iteration 10 err=0.23640264570713
CG iteration 11 err=0.099579356610775
CG iteration 12 err=0.0522104948759079
CG iteration 13 err=0.0425170287489891
CG iteration 14 err=0.0450251772999763
CG iteration 15 err=0.0221373662352562
CG iteration 16 err=0.0174026172608137
CG iteration 17 err=0.0243954863399267
CG iteration 18 err=0.0532456301152706
CG iteration 19 err=0.0193049274384975
CG iteration 20 err=0.0188462883234024
L2 solution PSNR_ROI=20.7112199484822
init v=560.352478027344 u=1208.787109375 u0=238738.765625
solution space=(alpha>=1 OR 0.101852<beta<=197.502740)
Iteration 1 PSNR_ROI=20.89094203 dB, data_fidel=1193.411011, data_consist=15.185622, sparsity=253411.632446, overall=1300157.479812 < 75.615355
Iteration 2 PSNR_ROI=20.70039329 dB, data_fidel=0.521978, data_consist=8.974679, sparsity=253875.850464, overall=1652.711771 < 75.615355
Iteration 3 PSNR_ROI=21.06546038 dB, data_fidel=0.854109, data_consist=3.790018, sparsity=254336.291504, overall=1387.325239 < 75.615355
Iteration 4 PSNR_ROI=21.19616609 dB, data_fidel=1.030467, data_consist=0.864469, sparsity=254809.675171, overall=1225.550034 < 75.615355
Iteration 5 PSNR_ROI=21.29615823 dB, data_fidel=0.994622, data_consist=0.132459, sparsity=255302.793701, overall=1098.068767 < 75.615355
Iteration 6 PSNR_ROI=21.38848639 dB, data_fidel=0.781826, data_consist=1.115835, sparsity=255817.084351, overall=985.435365 < 75.615355
Iteration 7 PSNR_ROI=21.48457101 dB, data_fidel=0.486411, data_consist=2.916583, sparsity=256352.124146, overall=881.723163 < 75.615355
Iteration 8 PSNR_ROI=21.58363665 dB, data_fidel=0.215767, data_consist=4.563975, sparsity=256906.612183, overall=786.422263 < 75.615355
Iteration 9 PSNR_ROI=21.68775440 dB, data_fidel=0.048693, data_consist=5.351552, sparsity=257479.162476, overall=699.862601 < 75.615355
Iteration 10 PSNR_ROI=21.78590637 dB, data_fidel=0.012179, data_consist=5.040041, sparsity=258070.781860, overall=622.483667 < 75.615355
Iteration 11 PSNR_ROI=21.89104375 dB, data_fidel=0.081514, data_consist=3.852003, sparsity=258684.938965, overall=554.305146 < 75.615355
Iteration 12 PSNR_ROI=22.00008171 dB, data_fidel=0.199349, data_consist=2.299390, sparsity=259322.244995, overall=494.820716 < 75.615355
Iteration 13 PSNR_ROI=22.11376145 dB, data_fidel=0.302996, data_consist=0.938385, sparsity=259991.121704, overall=443.062195 < 75.615355
Iteration 14 PSNR_ROI=22.24138879 dB, data_fidel=0.348341, data_consist=0.155413, sparsity=260686.574341, overall=397.748950 < 75.615355
Iteration 15 PSNR_ROI=22.37130854 dB, data_fidel=0.322366, data_consist=0.057566, sparsity=261412.195435, overall=357.662946 < 75.615355
Iteration 16 PSNR_ROI=22.51321166 dB, data_fidel=0.241723, data_consist=0.486125, sparsity=262170.227295, overall=321.734415 < 75.615355
Iteration 17 PSNR_ROI=22.66444057 dB, data_fidel=0.140737, data_consist=1.126038, sparsity=262960.359375, overall=289.223370 < 75.615355
Iteration 18 PSNR_ROI=22.82702753 dB, data_fidel=0.055222, data_consist=1.651362, sparsity=263782.809814, overall=259.691011 < 75.615355
Iteration 19 PSNR_ROI=23.00180604 dB, data_fidel=0.008956, data_consist=1.847260, sparsity=264677.323975, overall=233.037300 < 75.615355
Iteration 20 PSNR_ROI=23.22755871 dB, data_fidel=0.006955, data_consist=1.664956, sparsity=265570.968384, overall=208.824488 < 75.615355
Iteration 21 PSNR_ROI=23.40726264 dB, data_fidel=0.037598, data_consist=1.210979, sparsity=266501.797852, overall=187.285272 < 75.615355
Iteration 22 PSNR_ROI=23.61964663 dB, data_fidel=0.079718, data_consist=0.673636, sparsity=267473.080688, overall=168.154398 < 75.615355
Iteration 23 PSNR_ROI=23.84558084 dB, data_fidel=0.112412, data_consist=0.239296, sparsity=268486.616455, overall=151.219265 < 75.615355
Iteration 24 PSNR_ROI=24.09175452 dB, data_fidel=0.122591, data_consist=0.023099, sparsity=269545.246216, overall=136.159756 < 75.615355
Iteration 25 PSNR_ROI=24.34514352 dB, data_fidel=0.108356, data_consist=0.040187, sparsity=270650.174194, overall=122.739269 < 75.615355
Iteration 26 PSNR_ROI=24.62272926 dB, data_fidel=0.077410, data_consist=0.218757, sparsity=271804.918701, overall=110.657975 < 75.615355
Processing SIRA: 21135.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=12 PSNR=24.622729 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_12.png
Processing SIRA roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18603515625
iteration 3 err=1209.96215820313
iteration 4 err=269.338043212891
iteration 5 err=98.2790985107422
iteration 6 err=22.061279296875
iteration 7 err=9.79505157470703
iteration 8 err=7.49180603027344
iteration 9 err=9.31967735290527
iteration 10 err=4.06269788742065
iteration 11 err=2.32093024253845
iteration 12 err=1.24723601341248
iteration 13 err=0.792601644992828
iteration 14 err=0.466444700956345
iteration 15 err=0.373296201229095
iteration 16 err=0.923535227775574
iteration 17 err=0.410141557455063
iteration 18 err=0.501555323600769
iteration 19 err=0.2459577023983
iteration 20 err=0.214199677109718
CG iteration 1 err=8238.9951171875
CG iteration 2 err=84.8977966308594
CG iteration 3 err=5.77771425247192
CG iteration 4 err=1.32571136951447
CG iteration 5 err=0.538418173789978
CG iteration 6 err=0.375273019075394
CG iteration 7 err=0.21787865459919
CG iteration 8 err=0.142832309007645
CG iteration 9 err=0.172888293862343
CG iteration 10 err=0.245047748088837
CG iteration 11 err=0.0714745968580246
CG iteration 12 err=0.0510140284895897
CG iteration 13 err=0.07233065366745
CG iteration 14 err=0.0414611883461475
CG iteration 15 err=0.0272381138056517
CG iteration 16 err=0.0271170064806938
CG iteration 17 err=0.0883072689175606
CG iteration 18 err=0.0250583756715059
CG iteration 19 err=0.0164840221405029
CG iteration 20 err=0.0235227737575769
L2 solution PSNR_ROI=21.0359695831609
init v=562.796875 u=1165.65747070313 u0=227666.25
solution space=(alpha>=1 OR 0.093117<beta<=195.311449)
Iteration 1 PSNR_ROI=21.26908319 dB, data_fidel=1144.861084, data_consist=20.374014, sparsity=254375.176147, overall=1203439.200068 < 70.315692
Iteration 2 PSNR_ROI=21.12491189 dB, data_fidel=0.709949, data_consist=12.080945, sparsity=254860.346802, overall=2153.025643 < 70.315692
Iteration 3 PSNR_ROI=21.39145663 dB, data_fidel=1.163730, data_consist=5.189052, sparsity=255345.351807, overall=1825.725148 < 70.315692
Iteration 4 PSNR_ROI=21.54365801 dB, data_fidel=1.405944, data_consist=1.184460, sparsity=255850.501099, overall=1613.031423 < 70.315692
Iteration 5 PSNR_ROI=21.65544473 dB, data_fidel=1.358000, data_consist=0.164035, sparsity=256379.235352, overall=1443.787233 < 70.315692
Iteration 6 PSNR_ROI=21.77362871 dB, data_fidel=1.067689, data_consist=1.510926, sparsity=256932.786499, overall=1296.225796 < 70.315692
Iteration 7 PSNR_ROI=21.85987933 dB, data_fidel=0.664081, data_consist=3.982149, sparsity=257508.941895, overall=1160.864490 < 70.315692
Iteration 8 PSNR_ROI=21.95718513 dB, data_fidel=0.294273, data_consist=6.241034, sparsity=258105.704224, overall=1036.209940 < 70.315692
Iteration 9 PSNR_ROI=22.05972220 dB, data_fidel=0.066036, data_consist=7.322783, sparsity=258721.307495, overall=922.863695 < 70.315692
Iteration 10 PSNR_ROI=22.13776528 dB, data_fidel=0.016641, data_consist=6.896133, sparsity=259357.870483, overall=821.310583 < 70.315692
Iteration 11 PSNR_ROI=22.24892216 dB, data_fidel=0.111925, data_consist=5.268825, sparsity=260016.952393, overall=731.583993 < 70.315692
Iteration 12 PSNR_ROI=22.35306319 dB, data_fidel=0.273366, data_consist=3.143536, sparsity=260703.080811, overall=653.214962 < 70.315692
Iteration 13 PSNR_ROI=22.45982853 dB, data_fidel=0.415249, data_consist=1.283067, sparsity=261465.501953, overall=585.196170 < 70.315692
Iteration 14 PSNR_ROI=22.62042501 dB, data_fidel=0.477034, data_consist=0.212808, sparsity=262212.885742, overall=525.258870 < 70.315692
Iteration 15 PSNR_ROI=22.71346961 dB, data_fidel=0.441273, data_consist=0.080717, sparsity=262995.067627, overall=472.344585 < 70.315692
Iteration 16 PSNR_ROI=22.84313147 dB, data_fidel=0.330765, data_consist=0.668890, sparsity=263812.672485, overall=424.972148 < 70.315692
Iteration 17 PSNR_ROI=22.98612359 dB, data_fidel=0.192507, data_consist=1.545058, sparsity=264665.855225, overall=382.058589 < 70.315692
Iteration 18 PSNR_ROI=23.13295257 dB, data_fidel=0.075536, data_consist=2.263477, sparsity=265554.815552, overall=343.088232 < 70.315692
Iteration 19 PSNR_ROI=23.29136788 dB, data_fidel=0.012279, data_consist=2.529871, sparsity=266480.965332, overall=307.777800 < 70.315692
Iteration 20 PSNR_ROI=23.46255343 dB, data_fidel=0.009720, data_consist=2.279916, sparsity=267443.179810, overall=275.957491 < 70.315692
Iteration 21 PSNR_ROI=23.63704113 dB, data_fidel=0.051782, data_consist=1.658022, sparsity=268448.865479, overall=247.592508 < 70.315692
Iteration 22 PSNR_ROI=23.83466514 dB, data_fidel=0.109472, data_consist=0.922320, sparsity=269498.083740, overall=222.357478 < 70.315692
Iteration 23 PSNR_ROI=24.04023935 dB, data_fidel=0.154174, data_consist=0.328029, sparsity=270592.991943, overall=199.979709 < 70.315692
Iteration 24 PSNR_ROI=24.25241108 dB, data_fidel=0.168102, data_consist=0.032716, sparsity=271737.585205, overall=180.167956 < 70.315692
Iteration 25 PSNR_ROI=24.49084005 dB, data_fidel=0.148579, data_consist=0.056431, sparsity=272932.440796, overall=162.450829 < 70.315692
Iteration 26 PSNR_ROI=24.74975775 dB, data_fidel=0.106074, data_consist=0.301521, sparsity=274182.748779, overall=146.428193 < 70.315692
Processing SIRA: 21175.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=16 PSNR=24.749757 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_16.png
Processing SIRA roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18603515625
iteration 3 err=1209.96215820313
iteration 4 err=269.338043212891
iteration 5 err=98.279167175293
iteration 6 err=22.0613079071045
iteration 7 err=9.79489421844482
iteration 8 err=7.48210096359253
iteration 9 err=9.28109741210938
iteration 10 err=4.07274961471558
iteration 11 err=2.32101583480835
iteration 12 err=1.24724090099335
iteration 13 err=0.792606174945831
iteration 14 err=0.466577470302582
iteration 15 err=0.385746538639069
iteration 16 err=1.14188706874847
iteration 17 err=0.403179168701172
iteration 18 err=0.497676372528076
iteration 19 err=0.233513668179512
iteration 20 err=0.213346719741821
CG iteration 1 err=16180.9052734375
CG iteration 2 err=155.074752807617
CG iteration 3 err=10.8845520019531
CG iteration 4 err=2.74894905090332
CG iteration 5 err=1.17000102996826
CG iteration 6 err=0.496124893426895
CG iteration 7 err=0.259697705507278
CG iteration 8 err=0.142862290143967
CG iteration 9 err=0.138094753026962
CG iteration 10 err=0.398980617523193
CG iteration 11 err=0.103514179587364
CG iteration 12 err=0.0983067080378532
CG iteration 13 err=0.084000937640667
CG iteration 14 err=0.0429100133478642
CG iteration 15 err=0.041915912181139
CG iteration 16 err=0.0394877977669239
CG iteration 17 err=0.081913635134697
CG iteration 18 err=0.0451451726257801
CG iteration 19 err=0.0399693287909031
CG iteration 20 err=0.0206090267747641
L2 solution PSNR_ROI=23.032224413072
init v=641.753784179688 u=1163.60095214844 u0=216856.5
solution space=(alpha>=1 OR 0.066231<beta<=186.366726)
Iteration 1 PSNR_ROI=23.38554381 dB, data_fidel=1131.063354, data_consist=31.363033, sparsity=261571.853882, overall=1188145.162145 < 70.067801
Iteration 2 PSNR_ROI=23.21678657 dB, data_fidel=1.117846, data_consist=18.487329, sparsity=262079.622437, overall=3321.841185 < 70.067801
Iteration 3 PSNR_ROI=23.48331660 dB, data_fidel=1.830611, data_consist=8.109720, sparsity=262595.369019, overall=2860.738690 < 70.067801
Iteration 4 PSNR_ROI=23.68105137 dB, data_fidel=2.211003, data_consist=1.976396, sparsity=263138.333618, overall=2545.425840 < 70.067801
Iteration 5 PSNR_ROI=23.82882662 dB, data_fidel=2.140188, data_consist=0.305121, sparsity=263712.118042, overall=2276.796157 < 70.067801
Iteration 6 PSNR_ROI=23.97689781 dB, data_fidel=1.685761, data_consist=2.359307, sparsity=264316.232300, overall=2039.926614 < 70.067801
Iteration 7 PSNR_ROI=24.08101231 dB, data_fidel=1.049848, data_consist=6.261496, sparsity=264947.200439, overall=1828.032331 < 70.067801
Iteration 8 PSNR_ROI=24.18329704 dB, data_fidel=0.465343, data_consist=9.860559, sparsity=265601.674683, overall=1634.701665 < 70.067801
Iteration 9 PSNR_ROI=24.27514709 dB, data_fidel=0.104369, data_consist=11.598000, sparsity=266275.116821, overall=1458.844190 < 70.067801
Iteration 10 PSNR_ROI=24.38070527 dB, data_fidel=0.026169, data_consist=10.943409, sparsity=266972.494873, overall=1300.781194 < 70.067801
Iteration 11 PSNR_ROI=24.48243754 dB, data_fidel=0.177790, data_consist=8.377024, sparsity=267693.248901, overall=1160.940400 < 70.067801
Iteration 12 PSNR_ROI=24.59091249 dB, data_fidel=0.434895, data_consist=5.008620, sparsity=268442.878296, overall=1038.243328 < 70.067801
Iteration 13 PSNR_ROI=24.70460601 dB, data_fidel=0.661154, data_consist=2.048173, sparsity=269220.171387, overall=930.712705 < 70.067801
Iteration 14 PSNR_ROI=24.82132018 dB, data_fidel=0.760448, data_consist=0.340502, sparsity=270039.605591, overall=835.992673 < 70.067801
Iteration 15 PSNR_ROI=24.94866688 dB, data_fidel=0.704124, data_consist=0.123498, sparsity=270896.720093, overall=751.757810 < 70.067801
Iteration 16 PSNR_ROI=25.08229334 dB, data_fidel=0.528308, data_consist=1.056426, sparsity=271794.822754, overall=676.191538 < 70.067801
Iteration 17 PSNR_ROI=25.22857225 dB, data_fidel=0.307688, data_consist=2.454934, sparsity=272734.782715, overall=607.879283 < 70.067801
Iteration 18 PSNR_ROI=25.37142547 dB, data_fidel=0.120825, data_consist=3.606578, sparsity=273714.202271, overall=546.194587 < 70.067801
Iteration 19 PSNR_ROI=25.53754211 dB, data_fidel=0.019465, data_consist=4.038348, sparsity=274734.562622, overall=490.287175 < 70.067801
Iteration 20 PSNR_ROI=25.70181200 dB, data_fidel=0.015239, data_consist=3.645987, sparsity=275796.918091, overall=440.205836 < 70.067801
Iteration 21 PSNR_ROI=25.87986491 dB, data_fidel=0.082435, data_consist=2.655340, sparsity=276905.144165, overall=395.304782 < 70.067801
Iteration 22 PSNR_ROI=26.06005130 dB, data_fidel=0.174934, data_consist=1.479702, sparsity=278062.930176, overall=355.376432 < 70.067801
Iteration 23 PSNR_ROI=26.24742617 dB, data_fidel=0.246928, data_consist=0.527154, sparsity=279272.286621, overall=319.933275 < 70.067801
Iteration 24 PSNR_ROI=26.45763902 dB, data_fidel=0.269393, data_consist=0.062384, sparsity=280537.644287, overall=289.378072 < 70.067801
Iteration 25 PSNR_ROI=26.64720284 dB, data_fidel=0.238698, data_consist=0.095905, sparsity=281864.177246, overall=261.133790 < 70.067801
Iteration 26 PSNR_ROI=26.88064949 dB, data_fidel=0.170955, data_consist=0.478655, sparsity=283251.739746, overall=234.727778 < 70.067801
Processing SIRA: 21200.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=24 PSNR=26.880649 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_24.png
Processing SIRA roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18896484375
iteration 3 err=1209.96264648438
iteration 4 err=269.338195800781
iteration 5 err=98.2791900634766
iteration 6 err=22.0611763000488
iteration 7 err=9.78549003601074
iteration 8 err=6.95843839645386
iteration 9 err=3.67956876754761
iteration 10 err=6.72463369369507
iteration 11 err=2.80544233322144
iteration 12 err=1.2518253326416
iteration 13 err=0.792616486549377
iteration 14 err=0.466440737247467
iteration 15 err=0.367753118276596
iteration 16 err=0.405055701732636
iteration 17 err=0.502542793750763
iteration 18 err=0.673524022102356
iteration 19 err=0.278066128492355
iteration 20 err=0.214201897382736
CG iteration 1 err=25932.34375
CG iteration 2 err=244.265335083008
CG iteration 3 err=17.1382789611816
CG iteration 4 err=4.54494428634644
CG iteration 5 err=2.03137183189392
CG iteration 6 err=0.651539981365204
CG iteration 7 err=0.284589558839798
CG iteration 8 err=0.22227019071579
CG iteration 9 err=0.270815163850784
CG iteration 10 err=0.219044879078865
CG iteration 11 err=0.126931995153427
CG iteration 12 err=0.111750796437263
CG iteration 13 err=0.080363892018795
CG iteration 14 err=0.0569418519735336
CG iteration 15 err=0.0644911304116249
CG iteration 16 err=0.0458664670586586
CG iteration 17 err=0.115779563784599
CG iteration 18 err=0.0448272861540318
CG iteration 19 err=0.0459422990679741
CG iteration 20 err=0.0471607223153114
L2 solution PSNR_ROI=23.9085784943494
init v=664.708801269531 u=1202.68786621094 u0=201691.109375
solution space=(alpha>=1 OR 0.065829<beta<=167.700295)
Iteration 1 PSNR_ROI=24.25618610 dB, data_fidel=1160.248169, data_consist=40.889740, sparsity=266581.254272, overall=1260792.514539 < 74.854207
Iteration 2 PSNR_ROI=24.23810465 dB, data_fidel=1.461104, data_consist=24.007860, sparsity=267095.512329, overall=4468.923099 < 74.854207
Iteration 3 PSNR_ROI=24.44608971 dB, data_fidel=2.389258, data_consist=10.767064, sparsity=267612.311890, overall=3881.119822 < 74.854207
Iteration 4 PSNR_ROI=24.63620979 dB, data_fidel=2.888649, data_consist=2.668581, sparsity=268167.779541, overall=3447.676351 < 74.854207
Iteration 5 PSNR_ROI=24.82934270 dB, data_fidel=2.796504, data_consist=0.446872, sparsity=268760.966797, overall=3080.733588 < 74.854207
Iteration 6 PSNR_ROI=24.98299791 dB, data_fidel=2.204552, data_consist=3.088018, sparsity=269394.942505, overall=2757.641821 < 74.854207
Iteration 7 PSNR_ROI=25.11069984 dB, data_fidel=1.374849, data_consist=8.147690, sparsity=270060.056396, overall=2468.075129 < 74.854207
Iteration 8 PSNR_ROI=25.21307769 dB, data_fidel=0.610914, data_consist=12.846381, sparsity=270754.815552, overall=2206.283187 < 74.854207
Iteration 9 PSNR_ROI=25.30617368 dB, data_fidel=0.137785, data_consist=15.140366, sparsity=271476.044678, overall=1970.054435 < 74.854207
Iteration 10 PSNR_ROI=25.39502651 dB, data_fidel=0.034408, data_consist=14.315954, sparsity=272223.366333, overall=1759.006144 < 74.854207
Iteration 11 PSNR_ROI=25.48245029 dB, data_fidel=0.232589, data_consist=10.977644, sparsity=272997.962280, overall=1572.027005 < 74.854207
Iteration 12 PSNR_ROI=25.57494819 dB, data_fidel=0.569909, data_consist=6.569777, sparsity=273806.381104, overall=1407.019130 < 74.854207
Iteration 13 PSNR_ROI=25.67190968 dB, data_fidel=0.867475, data_consist=2.683331, sparsity=274652.266968, overall=1261.692327 < 74.854207
Iteration 14 PSNR_ROI=25.77383127 dB, data_fidel=0.998739, data_consist=0.435965, sparsity=275540.803345, overall=1133.487411 < 74.854207
Iteration 15 PSNR_ROI=25.88422885 dB, data_fidel=0.925669, data_consist=0.146803, sparsity=276475.568848, overall=1019.618077 < 74.854207
Iteration 16 PSNR_ROI=26.00137906 dB, data_fidel=0.695464, data_consist=1.370918, sparsity=277458.722290, overall=917.662526 < 74.854207
Iteration 17 PSNR_ROI=26.12695144 dB, data_fidel=0.406278, data_consist=3.208454, sparsity=278488.978394, overall=825.640447 < 74.854207
Iteration 18 PSNR_ROI=26.25780065 dB, data_fidel=0.160985, data_consist=4.723716, sparsity=279566.346191, overall=742.368745 < 74.854207
Iteration 19 PSNR_ROI=26.39429525 dB, data_fidel=0.028003, data_consist=5.294955, sparsity=280691.995850, overall=667.129140 < 74.854207
Iteration 20 PSNR_ROI=26.53540833 dB, data_fidel=0.022530, data_consist=4.781929, sparsity=281867.500000, overall=599.503505 < 74.854207
Iteration 21 PSNR_ROI=26.67942688 dB, data_fidel=0.111082, data_consist=3.483654, sparsity=283094.980713, overall=539.211936 < 74.854207
Iteration 22 PSNR_ROI=26.82934008 dB, data_fidel=0.232823, data_consist=1.940096, sparsity=284380.104492, overall=485.344893 < 74.854207
Iteration 23 PSNR_ROI=26.97838499 dB, data_fidel=0.327782, data_consist=0.689695, sparsity=285727.733887, overall=437.745775 < 74.854207
Iteration 24 PSNR_ROI=27.13376681 dB, data_fidel=0.358016, data_consist=0.064923, sparsity=287141.279297, overall=395.331987 < 74.854207
Iteration 25 PSNR_ROI=27.29014823 dB, data_fidel=0.317820, data_consist=0.112156, sparsity=288624.292480, overall=357.503705 < 74.854207
Iteration 26 PSNR_ROI=27.44745808 dB, data_fidel=0.229427, data_consist=0.626778, sparsity=290178.538086, overall=323.717831 < 74.854207
Processing SIRA: 21030.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=32 PSNR=27.447458 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_32.png
Processing SIRA roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1865234375
iteration 3 err=1209.96240234375
iteration 4 err=269.338226318359
iteration 5 err=98.279182434082
iteration 6 err=22.0612087249756
iteration 7 err=9.78787517547607
iteration 8 err=7.09323024749756
iteration 9 err=6.13252067565918
iteration 10 err=5.40262126922607
iteration 11 err=2.33299255371094
iteration 12 err=1.24733877182007
iteration 13 err=0.792602300643921
iteration 14 err=0.466457217931747
iteration 15 err=0.368949323892593
iteration 16 err=0.480866312980652
iteration 17 err=0.656616628170013
iteration 18 err=0.56668746471405
iteration 19 err=0.239791050553322
iteration 20 err=0.213701903820038
CG iteration 1 err=49401.17578125
CG iteration 2 err=472.914459228516
CG iteration 3 err=33.6956062316895
CG iteration 4 err=8.94025993347168
CG iteration 5 err=2.86299467086792
CG iteration 6 err=1.19841349124908
CG iteration 7 err=0.513665199279785
CG iteration 8 err=0.350463509559631
CG iteration 9 err=0.262815237045288
CG iteration 10 err=0.433989584445953
CG iteration 11 err=0.171202018857002
CG iteration 12 err=0.156267121434212
CG iteration 13 err=0.121198773384094
CG iteration 14 err=0.0997550338506699
CG iteration 15 err=0.0795600265264511
CG iteration 16 err=0.0653386414051056
CG iteration 17 err=0.247002184391022
CG iteration 18 err=0.0650200322270393
CG iteration 19 err=0.044308178126812
CG iteration 20 err=0.0518003515899181
L2 solution PSNR_ROI=25.9995461277298
init v=859.679748535156 u=1157.86743164063 u0=180575.703125
solution space=(alpha>=1 OR 0.019136<beta<=155.955421)
Iteration 1 PSNR_ROI=26.38432699 dB, data_fidel=1098.240112, data_consist=58.566940, sparsity=278674.916504, overall=1151236.087618 < 69.378999
Iteration 2 PSNR_ROI=26.30425836 dB, data_fidel=2.083144, data_consist=34.234005, sparsity=279258.973999, overall=6134.647774 < 69.378999
Iteration 3 PSNR_ROI=26.41480294 dB, data_fidel=3.409222, data_consist=15.499257, sparsity=279872.098999, overall=5347.293040 < 69.378999
Iteration 4 PSNR_ROI=26.47574132 dB, data_fidel=4.113293, data_consist=3.959260, sparsity=280480.854614, overall=4744.812757 < 69.378999
Iteration 5 PSNR_ROI=26.71267831 dB, data_fidel=3.987788, data_consist=0.757253, sparsity=281181.402466, overall=4243.276738 < 69.378999
Iteration 6 PSNR_ROI=26.85001115 dB, data_fidel=3.146071, data_consist=4.481159, sparsity=281929.596313, overall=3797.319117 < 69.378999
Iteration 7 PSNR_ROI=26.97079725 dB, data_fidel=1.965629, data_consist=11.683927, sparsity=282694.143188, overall=3401.188306 < 69.378999
Iteration 8 PSNR_ROI=27.05693952 dB, data_fidel=0.878990, data_consist=18.428455, sparsity=283641.166138, overall=3049.749201 < 69.378999
Iteration 9 PSNR_ROI=27.27128521 dB, data_fidel=0.201471, data_consist=21.669840, sparsity=284417.809082, overall=2719.028740 < 69.378999
Iteration 10 PSNR_ROI=27.34268648 dB, data_fidel=0.054467, data_consist=20.486559, sparsity=285276.766846, overall=2428.830634 < 69.378999
Iteration 11 PSNR_ROI=27.40900459 dB, data_fidel=0.336245, data_consist=15.664844, sparsity=286170.402710, overall=2164.175298 < 69.378999
Iteration 12 PSNR_ROI=27.48740544 dB, data_fidel=0.815796, data_consist=9.391994, sparsity=287092.714111, overall=1937.593866 < 69.378999
Iteration 13 PSNR_ROI=27.58610343 dB, data_fidel=1.238871, data_consist=3.857356, sparsity=288064.261841, overall=1737.633791 < 69.378999
Iteration 14 PSNR_ROI=27.66754063 dB, data_fidel=1.425832, data_consist=0.661753, sparsity=289066.307373, overall=1562.453927 < 69.378999
Iteration 15 PSNR_ROI=27.79654447 dB, data_fidel=1.321964, data_consist=0.232811, sparsity=290141.438965, overall=1404.549724 < 69.378999
Iteration 16 PSNR_ROI=27.90809793 dB, data_fidel=0.994341, data_consist=1.966978, sparsity=291272.141602, overall=1263.933962 < 69.378999
Iteration 17 PSNR_ROI=28.03843763 dB, data_fidel=0.582680, data_consist=4.578131, sparsity=292457.781982, overall=1137.286587 < 69.378999
Iteration 18 PSNR_ROI=28.17663800 dB, data_fidel=0.233174, data_consist=6.755008, sparsity=293680.231445, overall=1025.126869 < 69.378999
Iteration 19 PSNR_ROI=28.33969363 dB, data_fidel=0.043346, data_consist=7.558315, sparsity=294960.867676, overall=920.322272 < 69.378999
Iteration 20 PSNR_ROI=28.48547821 dB, data_fidel=0.035792, data_consist=6.845048, sparsity=296279.202393, overall=829.863671 < 69.378999
Iteration 21 PSNR_ROI=28.67068664 dB, data_fidel=0.161821, data_consist=4.984870, sparsity=297671.619141, overall=745.812398 < 69.378999
Iteration 22 PSNR_ROI=28.83657488 dB, data_fidel=0.336073, data_consist=2.780124, sparsity=299133.381836, overall=672.116282 < 69.378999
Iteration 23 PSNR_ROI=29.02374679 dB, data_fidel=0.471965, data_consist=1.002843, sparsity=300677.359619, overall=607.941076 < 69.378999
Iteration 24 PSNR_ROI=29.20312823 dB, data_fidel=0.515865, data_consist=0.121643, sparsity=302275.873291, overall=551.657714 < 69.378999
Iteration 25 PSNR_ROI=29.39567811 dB, data_fidel=0.461242, data_consist=0.332366, sparsity=303892.298828, overall=519.134926 < 69.378999
Iteration 26 PSNR_ROI=29.67594223 dB, data_fidel=0.332681, data_consist=0.976923, sparsity=305668.265381, overall=459.795004 < 69.378999
Processing SIRA: 21240.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=48 PSNR=29.675941 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_48.png
Processing SIRA roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1875
iteration 3 err=1209.96264648438
iteration 4 err=269.338256835938
iteration 5 err=98.2792205810547
iteration 6 err=22.061222076416
iteration 7 err=9.78812599182129
iteration 8 err=7.10710573196411
iteration 9 err=6.32667541503906
iteration 10 err=5.26044845581055
iteration 11 err=2.33152198791504
iteration 12 err=1.24732661247253
iteration 13 err=0.792599439620972
iteration 14 err=0.466351985931396
iteration 15 err=0.364511251449585
iteration 16 err=0.384705573320389
iteration 17 err=0.838192164897919
iteration 18 err=0.416396915912628
iteration 19 err=0.292486727237701
iteration 20 err=0.218475088477135
CG iteration 1 err=77359.703125
CG iteration 2 err=767.395324707031
CG iteration 3 err=49.0584564208984
CG iteration 4 err=8.56018257141113
CG iteration 5 err=3.76434469223022
CG iteration 6 err=1.36091446876526
CG iteration 7 err=0.622136056423187
CG iteration 8 err=0.616543471813202
CG iteration 9 err=1.0073664188385
CG iteration 10 err=0.327188760042191
CG iteration 11 err=0.239697560667992
CG iteration 12 err=0.208108693361282
CG iteration 13 err=0.153820008039474
CG iteration 14 err=0.141980528831482
CG iteration 15 err=0.127210170030594
CG iteration 16 err=0.169233232736588
CG iteration 17 err=0.154110297560692
CG iteration 18 err=0.0639324262738228
CG iteration 19 err=0.0676202401518822
CG iteration 20 err=0.0541679002344608
L2 solution PSNR_ROI=29.4810153968637
init v=1125.12451171875 u=1188.82604980469 u0=175061.078125
solution space=(alpha>=1 OR 0.000738<beta<=147.255419)
Iteration 1 PSNR_ROI=30.11452806 dB, data_fidel=1110.820679, data_consist=75.456207, sparsity=297292.525635, overall=1197485.734045 < 73.138657
Iteration 2 PSNR_ROI=29.82259554 dB, data_fidel=2.705824, data_consist=43.764618, sparsity=297856.955811, overall=8097.930837 < 73.138657
Iteration 3 PSNR_ROI=29.91650517 dB, data_fidel=4.424913, data_consist=19.928164, sparsity=298442.325317, overall=7103.518576 < 73.138657
Iteration 4 PSNR_ROI=30.11909604 dB, data_fidel=5.359283, data_consist=5.106598, sparsity=299069.940186, overall=6341.215344 < 73.138657
Iteration 5 PSNR_ROI=30.40720737 dB, data_fidel=5.196220, data_consist=0.806393, sparsity=299768.858276, overall=5655.527525 < 73.138657
Iteration 6 PSNR_ROI=30.65921111 dB, data_fidel=4.098788, data_consist=5.806526, sparsity=300530.021240, overall=5075.766024 < 73.138657
Iteration 7 PSNR_ROI=30.88976598 dB, data_fidel=2.559652, data_consist=15.310670, sparsity=301338.223145, overall=4558.855041 < 73.138657
Iteration 8 PSNR_ROI=31.08786891 dB, data_fidel=1.144830, data_consist=24.000460, sparsity=302192.240479, overall=4078.141018 < 73.138657
Iteration 9 PSNR_ROI=31.25217289 dB, data_fidel=0.271015, data_consist=28.193003, sparsity=303076.079102, overall=3641.628441 < 73.138657
Iteration 10 PSNR_ROI=31.39470110 dB, data_fidel=0.080886, data_consist=26.651426, sparsity=304010.211426, overall=3254.934423 < 73.138657
Iteration 11 PSNR_ROI=31.52298999 dB, data_fidel=0.450913, data_consist=20.437059, sparsity=304969.015137, overall=2912.061867 < 73.138657
Iteration 12 PSNR_ROI=31.63585071 dB, data_fidel=1.076894, data_consist=12.250654, sparsity=305963.711670, overall=2608.605666 < 73.138657
Iteration 13 PSNR_ROI=31.74112352 dB, data_fidel=1.628044, data_consist=5.037216, sparsity=307006.315918, overall=2340.752086 < 73.138657
Iteration 14 PSNR_ROI=31.85746410 dB, data_fidel=1.869947, data_consist=0.859688, sparsity=308115.414307, overall=2102.939428 < 73.138657
Iteration 15 PSNR_ROI=31.99039875 dB, data_fidel=1.732778, data_consist=0.315941, sparsity=309294.719238, overall=1891.533923 < 73.138657
Iteration 16 PSNR_ROI=32.14159986 dB, data_fidel=1.303957, data_consist=2.583230, sparsity=310540.268066, overall=1702.261825 < 73.138657
Iteration 17 PSNR_ROI=32.30117835 dB, data_fidel=0.766070, data_consist=5.997497, sparsity=311851.113281, overall=1532.649150 < 73.138657
Iteration 18 PSNR_ROI=32.46806249 dB, data_fidel=0.310261, data_consist=8.816782, sparsity=313225.894775, overall=1380.123300 < 73.138657
Iteration 19 PSNR_ROI=32.63998347 dB, data_fidel=0.063521, data_consist=9.886363, sparsity=314677.422607, overall=1243.280538 < 73.138657
Iteration 20 PSNR_ROI=32.82701635 dB, data_fidel=0.055580, data_consist=8.931649, sparsity=316190.446533, overall=1121.285561 < 73.138657
Iteration 21 PSNR_ROI=32.99076233 dB, data_fidel=0.222599, data_consist=6.511338, sparsity=317771.947266, overall=1012.252745 < 73.138657
Iteration 22 PSNR_ROI=33.14450231 dB, data_fidel=0.451525, data_consist=3.634556, sparsity=319436.479980, overall=915.191808 < 73.138657
Iteration 23 PSNR_ROI=33.29490981 dB, data_fidel=0.631032, data_consist=1.303977, sparsity=321180.879639, overall=830.189037 < 73.138657
Iteration 24 PSNR_ROI=33.41506384 dB, data_fidel=0.689734, data_consist=0.137152, sparsity=323026.250000, overall=754.280798 < 73.138657
Iteration 25 PSNR_ROI=33.52827565 dB, data_fidel=0.617424, data_consist=0.222885, sparsity=324974.200439, overall=687.106282 < 73.138657
Iteration 26 PSNR_ROI=33.61083687 dB, data_fidel=0.455488, data_consist=1.181130, sparsity=327017.592529, overall=627.761785 < 73.138657
Processing SIRA: 21165.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=64 PSNR=33.610837 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_64.png
Processing SIRA roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1875
iteration 3 err=1209.96313476563
iteration 4 err=269.338287353516
iteration 5 err=98.2792129516602
iteration 6 err=22.0612106323242
iteration 7 err=9.78816986083984
iteration 8 err=7.109703540802
iteration 9 err=6.3620777130127
iteration 10 err=5.23608589172363
iteration 11 err=2.33127665519714
iteration 12 err=1.24732661247253
iteration 13 err=0.792600989341736
iteration 14 err=0.466336905956268
iteration 15 err=0.364024966955185
iteration 16 err=0.401794731616974
iteration 17 err=0.772920548915863
iteration 18 err=0.314553260803223
iteration 19 err=0.341182261705399
iteration 20 err=0.231817290186882
CG iteration 1 err=109028.8984375
CG iteration 2 err=1107.66540527344
CG iteration 3 err=72.5374526977539
CG iteration 4 err=14.5661182403564
CG iteration 5 err=4.66847085952759
CG iteration 6 err=1.59539151191711
CG iteration 7 err=0.852752387523651
CG iteration 8 err=2.1932852268219
CG iteration 9 err=0.581991851329803
CG iteration 10 err=0.430415749549866
CG iteration 11 err=0.332742601633072
CG iteration 12 err=0.234325528144836
CG iteration 13 err=0.186004340648651
CG iteration 14 err=0.136664047837257
CG iteration 15 err=0.595565617084503
CG iteration 16 err=0.11904152482748
CG iteration 17 err=0.0931122675538063
CG iteration 18 err=0.135332003235817
CG iteration 19 err=0.0753144323825836
CG iteration 20 err=0.0629159957170486
L2 solution PSNR_ROI=32.4420333728606
init v=1312.54040527344 u=1172.09924316406 u0=161289.15625
solution space=(alpha>=1 OR 0.003389<beta<=137.607082)
Iteration 1 PSNR_ROI=33.39509167 dB, data_fidel=1078.598267, data_consist=89.052368, sparsity=311038.028076, overall=1148239.612098 < 71.095011
Iteration 2 PSNR_ROI=32.80553645 dB, data_fidel=3.248195, data_consist=52.303505, sparsity=311576.392090, overall=9556.976499 < 71.095011
Iteration 3 PSNR_ROI=32.80999955 dB, data_fidel=5.330915, data_consist=23.240435, sparsity=312156.988281, overall=8347.534852 < 71.095011
Iteration 4 PSNR_ROI=33.03115468 dB, data_fidel=6.457723, data_consist=5.901347, sparsity=312810.385010, overall=7503.879563 < 71.095011
Iteration 5 PSNR_ROI=33.41783212 dB, data_fidel=6.268331, data_consist=0.991105, sparsity=313518.579346, overall=6728.562866 < 71.095011
Iteration 6 PSNR_ROI=33.77281600 dB, data_fidel=4.953191, data_consist=6.855957, sparsity=314276.590088, overall=6028.654725 < 71.095011
Iteration 7 PSNR_ROI=34.06307194 dB, data_fidel=3.097267, data_consist=18.255394, sparsity=315098.654053, overall=5406.986879 < 71.095011
Iteration 8 PSNR_ROI=34.30206559 dB, data_fidel=1.385461, data_consist=28.867815, sparsity=315948.488037, overall=4845.102144 < 71.095011
Iteration 9 PSNR_ROI=34.44894810 dB, data_fidel=0.325161, data_consist=34.014263, sparsity=316827.816406, overall=4329.818149 < 71.095011
Iteration 10 PSNR_ROI=34.54125812 dB, data_fidel=0.093844, data_consist=32.155132, sparsity=317741.779053, overall=3867.895605 < 71.095011
Iteration 11 PSNR_ROI=34.60683895 dB, data_fidel=0.539805, data_consist=24.665247, sparsity=318675.802979, overall=3460.446002 < 71.095011
Iteration 12 PSNR_ROI=34.62778041 dB, data_fidel=1.297199, data_consist=14.785530, sparsity=319650.635498, overall=3101.411741 < 71.095011
Iteration 13 PSNR_ROI=34.65681741 dB, data_fidel=1.966271, data_consist=6.086655, sparsity=320653.019043, overall=2787.614528 < 71.095011
Iteration 14 PSNR_ROI=34.65537240 dB, data_fidel=2.260813, data_consist=1.014224, sparsity=321721.187012, overall=2503.784049 < 71.095011
Iteration 15 PSNR_ROI=34.70180033 dB, data_fidel=2.096354, data_consist=0.357360, sparsity=322859.733887, overall=2253.307590 < 71.095011
Iteration 16 PSNR_ROI=34.77220397 dB, data_fidel=1.578635, data_consist=3.103269, sparsity=324067.845703, overall=2029.018735 < 71.095011
Iteration 17 PSNR_ROI=34.85856907 dB, data_fidel=0.928784, data_consist=7.235113, sparsity=325326.897949, overall=1827.791217 < 71.095011
Iteration 18 PSNR_ROI=34.92162955 dB, data_fidel=0.376970, data_consist=10.637882, sparsity=326648.530518, overall=1644.527211 < 71.095011
Iteration 19 PSNR_ROI=35.00087187 dB, data_fidel=0.078603, data_consist=11.929375, sparsity=328022.835938, overall=1481.158428 < 71.095011
Iteration 20 PSNR_ROI=35.05704834 dB, data_fidel=0.067502, data_consist=10.781123, sparsity=329450.669434, overall=1334.861894 < 71.095011
Iteration 21 PSNR_ROI=35.10411462 dB, data_fidel=0.266814, data_consist=8.062361, sparsity=330928.366943, overall=1226.447424 < 71.095011
Iteration 22 PSNR_ROI=35.09890640 dB, data_fidel=0.544385, data_consist=4.535463, sparsity=332503.258301, overall=1105.866757 < 71.095011
Iteration 23 PSNR_ROI=35.12752423 dB, data_fidel=0.760205, data_consist=1.579232, sparsity=334158.764893, overall=987.033904 < 71.095011
Iteration 24 PSNR_ROI=35.12264579 dB, data_fidel=0.832437, data_consist=0.170641, sparsity=335891.180664, overall=898.130158 < 71.095011
Iteration 25 PSNR_ROI=35.07431543 dB, data_fidel=0.746674, data_consist=0.273376, sparsity=337705.241455, overall=819.700759 < 71.095011
Iteration 26 PSNR_ROI=34.98791870 dB, data_fidel=0.552003, data_consist=1.429534, sparsity=339603.308838, overall=749.857957 < 71.095011
Processing SIRA: 21405.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=80 PSNR=34.987919 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_80.png
Processing SIRA roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.185546875
iteration 3 err=1209.96203613281
iteration 4 err=269.337951660156
iteration 5 err=98.2790832519531
iteration 6 err=22.0612850189209
iteration 7 err=9.79468250274658
iteration 8 err=7.47090148925781
iteration 9 err=9.23510265350342
iteration 10 err=4.08473968505859
iteration 11 err=2.3211042881012
iteration 12 err=1.24724018573761
iteration 13 err=0.792611658573151
iteration 14 err=0.466708928346634
iteration 15 err=0.379692643880844
iteration 16 err=0.638395309448242
iteration 17 err=0.607022047042847
iteration 18 err=0.504016995429993
iteration 19 err=0.227305755019188
iteration 20 err=0.2129315584898
CG iteration 1 err=142292.21875
CG iteration 2 err=1470.71667480469
CG iteration 3 err=110.155654907227
CG iteration 4 err=25.5542831420898
CG iteration 5 err=6.65626573562622
CG iteration 6 err=2.1101930141449
CG iteration 7 err=1.2161545753479
CG iteration 8 err=0.921419322490692
CG iteration 9 err=1.89253127574921
CG iteration 10 err=0.456071108579636
CG iteration 11 err=0.364625930786133
CG iteration 12 err=0.279400616884232
CG iteration 13 err=0.264720171689987
CG iteration 14 err=0.196985974907875
CG iteration 15 err=0.167634576559067
CG iteration 16 err=0.321979761123657
CG iteration 17 err=0.163081228733063
CG iteration 18 err=0.0980765447020531
CG iteration 19 err=0.0784007385373116
CG iteration 20 err=0.0656700134277344
L2 solution PSNR_ROI=33.4703459393235
init v=1469.05078125 u=1048.86547851563 u0=140980.5
solution space=(alpha>=1 OR 0.033662<beta<=134.412375)
Iteration 1 PSNR_ROI=34.32199090 dB, data_fidel=938.746094, data_consist=105.211159, sparsity=319617.585205, overall=897191.768980 < 56.931147
Iteration 2 PSNR_ROI=33.70631962 dB, data_fidel=3.804687, data_consist=61.201572, sparsity=320154.925293, overall=10010.766267 < 56.931147
Iteration 3 PSNR_ROI=33.56615590 dB, data_fidel=6.250702, data_consist=27.320761, sparsity=320716.395996, overall=8766.111627 < 56.931147
Iteration 4 PSNR_ROI=33.79679813 dB, data_fidel=7.578660, data_consist=6.782640, sparsity=321346.127197, overall=7865.503466 < 56.931147
Iteration 5 PSNR_ROI=34.16712488 dB, data_fidel=7.359493, data_consist=1.135378, sparsity=322059.483887, overall=7066.291965 < 56.931147
Iteration 6 PSNR_ROI=34.55069840 dB, data_fidel=5.822879, data_consist=7.982311, sparsity=322835.638916, overall=6333.911959 < 56.931147
Iteration 7 PSNR_ROI=34.82933088 dB, data_fidel=3.647398, data_consist=21.244650, sparsity=323669.862305, overall=5671.344846 < 56.931147
Iteration 8 PSNR_ROI=35.02174002 dB, data_fidel=1.633049, data_consist=33.739918, sparsity=324543.595459, overall=5080.427357 < 56.931147
Iteration 9 PSNR_ROI=35.12047081 dB, data_fidel=0.380642, data_consist=39.934734, sparsity=325447.908203, overall=4547.934506 < 56.931147
Iteration 10 PSNR_ROI=35.14422876 dB, data_fidel=0.104728, data_consist=37.816139, sparsity=326369.121338, overall=4065.265559 < 56.931147
Iteration 11 PSNR_ROI=35.09088105 dB, data_fidel=0.626801, data_consist=28.997417, sparsity=327318.890381, overall=3633.126133 < 56.931147
Iteration 12 PSNR_ROI=35.01188140 dB, data_fidel=1.518274, data_consist=17.352819, sparsity=328306.199463, overall=3253.296171 < 56.931147
Iteration 13 PSNR_ROI=34.92397921 dB, data_fidel=2.306376, data_consist=7.096056, sparsity=329344.209229, overall=2921.451372 < 56.931147
Iteration 14 PSNR_ROI=34.84690329 dB, data_fidel=2.656291, data_consist=1.164380, sparsity=330445.199219, overall=2629.610101 < 56.931147
Iteration 15 PSNR_ROI=34.78721093 dB, data_fidel=2.466512, data_consist=0.395088, sparsity=331616.563965, overall=2369.775167 < 56.931147
Iteration 16 PSNR_ROI=34.74843700 dB, data_fidel=1.860811, data_consist=3.623366, sparsity=332856.048584, overall=2136.608537 < 56.931147
Iteration 17 PSNR_ROI=34.71340628 dB, data_fidel=1.098034, data_consist=8.483808, sparsity=334157.375000, overall=1926.358272 < 56.931147
Iteration 18 PSNR_ROI=34.66755947 dB, data_fidel=0.450792, data_consist=12.504023, sparsity=335532.623535, overall=1737.042013 < 56.931147
Iteration 19 PSNR_ROI=34.61898868 dB, data_fidel=0.099066, data_consist=14.024165, sparsity=336953.975098, overall=1564.462195 < 56.931147
Iteration 20 PSNR_ROI=34.56148568 dB, data_fidel=0.085995, data_consist=12.676603, sparsity=338441.151611, overall=1410.783096 < 56.931147
Iteration 21 PSNR_ROI=34.49905876 dB, data_fidel=0.322883, data_consist=9.242126, sparsity=339986.675537, overall=1274.169217 < 56.931147
Iteration 22 PSNR_ROI=34.39060319 dB, data_fidel=0.648308, data_consist=5.151021, sparsity=341606.114990, overall=1152.261821 < 56.931147
Iteration 23 PSNR_ROI=34.27171658 dB, data_fidel=0.903052, data_consist=1.836172, sparsity=343307.453369, overall=1045.051951 < 56.931147
Iteration 24 PSNR_ROI=34.13677462 dB, data_fidel=0.987034, data_consist=0.181190, sparsity=345095.731934, overall=950.744017 < 56.931147
Iteration 25 PSNR_ROI=33.98298321 dB, data_fidel=0.885145, data_consist=0.312468, sparsity=346966.077148, overall=868.332106 < 56.931147
Iteration 26 PSNR_ROI=33.76844481 dB, data_fidel=0.653433, data_consist=1.687475, sparsity=348953.395996, overall=793.820163 < 56.931147
Processing SIRA: 21365.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=96 PSNR=33.768444 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_96.png
Processing SIRA roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.0625
iteration 2 err=7922.18896484375
iteration 3 err=1209.96325683594
iteration 4 err=269.338348388672
iteration 5 err=98.2792587280273
iteration 6 err=22.061185836792
iteration 7 err=9.78543949127197
iteration 8 err=6.95537281036377
iteration 9 err=3.60919833183289
iteration 10 err=4.17986488342285
iteration 11 err=3.72153234481812
iteration 12 err=1.26464176177979
iteration 13 err=0.792650640010834
iteration 14 err=0.466340035200119
iteration 15 err=0.363671213388443
iteration 16 err=0.322211980819702
iteration 17 err=0.455411791801453
iteration 18 err=0.362178564071655
iteration 19 err=0.558978676795959
iteration 20 err=0.230260536074638
CG iteration 1 err=205011.921875
CG iteration 2 err=2559.46899414063
CG iteration 3 err=244.94465637207
CG iteration 4 err=48.2488441467285
CG iteration 5 err=13.0769929885864
CG iteration 6 err=4.17391347885132
CG iteration 7 err=3.5407977104187
CG iteration 8 err=1.52550435066223
CG iteration 9 err=2.76961517333984
CG iteration 10 err=1.01566958427429
CG iteration 11 err=0.621405303478241
CG iteration 12 err=0.405155777931213
CG iteration 13 err=0.359474778175354
CG iteration 14 err=0.280191510915756
CG iteration 15 err=0.243095278739929
CG iteration 16 err=0.191747412085533
CG iteration 17 err=0.179965227842331
CG iteration 18 err=0.611915290355682
CG iteration 19 err=0.128145292401314
CG iteration 20 err=0.190901711583138
L2 solution PSNR_ROI=35.7855393382471
init v=2023.87939453125 u=866.826416015625 u0=106523.546875
solution space=(alpha>=1 OR 0.278795<beta<=122.889133)
Iteration 1 PSNR_ROI=36.22644886 dB, data_fidel=717.107788, data_consist=149.608963, sparsity=328478.387451, overall=572415.676580 < 38.884331
Iteration 2 PSNR_ROI=34.95716200 dB, data_fidel=5.199687, data_consist=82.729858, sparsity=328960.884033, overall=11227.745738 < 38.884331
Iteration 3 PSNR_ROI=35.10585876 dB, data_fidel=8.453959, data_consist=37.652431, sparsity=329464.507080, overall=9859.115326 < 38.884331
Iteration 4 PSNR_ROI=35.44036630 dB, data_fidel=10.203440, data_consist=10.188380, sparsity=330027.043945, overall=8843.305682 < 38.884331
Iteration 5 PSNR_ROI=36.00503719 dB, data_fidel=9.876333, data_consist=2.459501, sparsity=330735.760498, overall=7918.155914 < 38.884331
Iteration 6 PSNR_ROI=36.69976529 dB, data_fidel=7.790012, data_consist=12.048747, sparsity=331481.223633, overall=7121.746496 < 38.884331
Iteration 7 PSNR_ROI=37.22582047 dB, data_fidel=4.886238, data_consist=29.766415, sparsity=332297.701172, overall=6392.199685 < 38.884331
Iteration 8 PSNR_ROI=37.62651556 dB, data_fidel=2.220641, data_consist=45.805824, sparsity=333159.490723, overall=5702.988835 < 38.884331
Iteration 9 PSNR_ROI=37.86493579 dB, data_fidel=0.567926, data_consist=53.532459, sparsity=334049.432617, overall=5083.398580 < 38.884331
Iteration 10 PSNR_ROI=37.96492071 dB, data_fidel=0.201429, data_consist=50.633125, sparsity=334965.067627, overall=4546.156328 < 38.884331
Iteration 11 PSNR_ROI=37.97431149 dB, data_fidel=0.888684, data_consist=39.026009, sparsity=335907.419434, overall=4076.178741 < 38.884331
Iteration 12 PSNR_ROI=37.92642565 dB, data_fidel=2.067792, data_consist=23.564360, sparsity=336888.473633, overall=3655.796137 < 38.884331
Iteration 13 PSNR_ROI=37.86005112 dB, data_fidel=3.112676, data_consist=9.780425, sparsity=337926.525391, overall=3276.127624 < 38.884331
Iteration 14 PSNR_ROI=37.81381633 dB, data_fidel=3.575326, data_consist=1.692897, sparsity=339036.669189, overall=2936.013085 < 38.884331
Iteration 15 PSNR_ROI=37.79671496 dB, data_fidel=3.317593, data_consist=0.558141, sparsity=340234.568604, overall=2636.580892 < 38.884331
Iteration 16 PSNR_ROI=37.83909023 dB, data_fidel=2.504855, data_consist=4.871886, sparsity=341505.247803, overall=2376.455270 < 38.884331
Iteration 17 PSNR_ROI=37.87630456 dB, data_fidel=1.484074, data_consist=11.435951, sparsity=342848.718994, overall=2149.089365 < 38.884331
Iteration 18 PSNR_ROI=37.93165470 dB, data_fidel=0.622481, data_consist=16.881807, sparsity=344261.197266, overall=1948.984601 < 38.884331
Iteration 19 PSNR_ROI=37.98020277 dB, data_fidel=0.163464, data_consist=18.943983, sparsity=345741.071045, overall=1769.639832 < 38.884331
Iteration 20 PSNR_ROI=38.01275929 dB, data_fidel=0.159978, data_consist=17.110075, sparsity=347289.211426, overall=1607.952051 < 38.884331
Iteration 21 PSNR_ROI=38.01128651 dB, data_fidel=0.490115, data_consist=12.457564, sparsity=348910.504395, overall=1462.215114 < 38.884331
Iteration 22 PSNR_ROI=37.96691146 dB, data_fidel=0.936384, data_consist=6.939251, sparsity=350617.162598, overall=1332.027042 < 38.884331
Iteration 23 PSNR_ROI=37.88196470 dB, data_fidel=1.283458, data_consist=2.475077, sparsity=352415.026611, overall=1215.828196 < 38.884331
Iteration 24 PSNR_ROI=37.75125402 dB, data_fidel=1.398186, data_consist=0.253788, sparsity=354315.591797, overall=1112.785038 < 38.884331
Iteration 25 PSNR_ROI=37.64174856 dB, data_fidel=1.262899, data_consist=0.758372, sparsity=356251.106201, overall=1050.980457 < 38.884331
Iteration 26 PSNR_ROI=37.22292814 dB, data_fidel=0.948929, data_consist=2.544214, sparsity=358374.277344, overall=960.840552 < 38.884331
Processing SIRA: 21175.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=128 PSNR=37.222929 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_128.png
Processing SIRA roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1875
iteration 3 err=1209.96228027344
iteration 4 err=269.338195800781
iteration 5 err=98.2792053222656
iteration 6 err=22.0612201690674
iteration 7 err=9.78839015960693
iteration 8 err=7.12193441390991
iteration 9 err=6.52448415756226
iteration 10 err=5.12984371185303
iteration 11 err=2.33021879196167
iteration 12 err=1.2473179101944
iteration 13 err=0.792605519294739
iteration 14 err=0.46650356054306
iteration 15 err=0.370282799005508
iteration 16 err=0.443191349506378
iteration 17 err=0.44497612118721
iteration 18 err=0.538089036941528
iteration 19 err=0.313034862279892
iteration 20 err=0.214138746261597
CG iteration 1 err=226942.921875
CG iteration 2 err=3155.16040039063
CG iteration 3 err=305.144134521484
CG iteration 4 err=56.7502059936523
CG iteration 5 err=15.7282419204712
CG iteration 6 err=6.20235395431519
CG iteration 7 err=4.50242710113525
CG iteration 8 err=2.04028534889221
CG iteration 9 err=4.46225690841675
CG iteration 10 err=1.34970116615295
CG iteration 11 err=0.725866198539734
CG iteration 12 err=0.434449285268784
CG iteration 13 err=0.414454340934753
CG iteration 14 err=0.30760869383812
CG iteration 15 err=0.300397604703903
CG iteration 16 err=0.793817758560181
CG iteration 17 err=0.266852974891663
CG iteration 18 err=0.209421724081039
CG iteration 19 err=0.292287409305573
CG iteration 20 err=0.141769468784332
L2 solution PSNR_ROI=37.31854949864
init v=2207.55346679688 u=870.89599609375 u0=98740.8671875
solution space=(alpha>=1 OR 0.350592<beta<=113.378483)
Iteration 1 PSNR_ROI=37.70076921 dB, data_fidel=705.929565, data_consist=168.447449, sparsity=332725.313477, overall=567982.129716 < 39.250297
Iteration 2 PSNR_ROI=36.13248965 dB, data_fidel=5.835982, data_consist=92.081284, sparsity=333217.835938, overall=12593.602392 < 39.250297
Iteration 3 PSNR_ROI=36.31874116 dB, data_fidel=9.433748, data_consist=41.835915, sparsity=333723.837402, overall=11037.705270 < 39.250297
Iteration 4 PSNR_ROI=36.68349965 dB, data_fidel=11.341133, data_consist=11.930812, sparsity=334295.737061, overall=9928.302311 < 39.250297
Iteration 5 PSNR_ROI=37.36319103 dB, data_fidel=10.943854, data_consist=3.441337, sparsity=334980.084473, overall=8877.567678 < 39.250297
Iteration 6 PSNR_ROI=38.20607301 dB, data_fidel=8.606195, data_consist=14.049943, sparsity=335741.368164, overall=7969.194951 < 39.250297
Iteration 7 PSNR_ROI=38.91940915 dB, data_fidel=5.374744, data_consist=34.007637, sparsity=336573.116699, overall=7174.470544 < 39.250297
Iteration 8 PSNR_ROI=39.46070997 dB, data_fidel=2.439796, data_consist=51.792759, sparsity=337449.816162, overall=6422.938514 < 39.250297
Iteration 9 PSNR_ROI=39.77351333 dB, data_fidel=0.651463, data_consist=59.819099, sparsity=338350.407227, overall=5720.242450 < 39.250297
Iteration 10 PSNR_ROI=39.86485803 dB, data_fidel=0.284353, data_consist=55.984009, sparsity=339270.389893, overall=5098.502741 < 39.250297
Iteration 11 PSNR_ROI=39.80936686 dB, data_fidel=1.059308, data_consist=42.869217, sparsity=340214.705811, overall=4563.755271 < 39.250297
Iteration 12 PSNR_ROI=39.67522048 dB, data_fidel=2.352058, data_consist=25.902647, sparsity=341200.221680, overall=4099.409024 < 39.250297
Iteration 13 PSNR_ROI=39.52806480 dB, data_fidel=3.482412, data_consist=10.974442, sparsity=342245.635742, overall=3685.296307 < 39.250297
Iteration 14 PSNR_ROI=39.41206415 dB, data_fidel=3.970839, data_consist=2.254787, sparsity=343363.364258, overall=3308.737541 < 39.250297
Iteration 15 PSNR_ROI=39.33195352 dB, data_fidel=3.673371, data_consist=0.990575, sparsity=344564.108398, overall=2965.480559 < 39.250297
Iteration 16 PSNR_ROI=39.29840077 dB, data_fidel=2.768371, data_consist=5.574446, sparsity=345822.213135, overall=2655.342894 < 39.250297
Iteration 17 PSNR_ROI=39.28214847 dB, data_fidel=1.642585, data_consist=12.650142, sparsity=347180.109131, overall=2389.164437 < 39.250297
Iteration 18 PSNR_ROI=39.28919876 dB, data_fidel=0.688119, data_consist=18.553402, sparsity=348609.142822, overall=2155.160603 < 39.250297
Iteration 19 PSNR_ROI=39.28721854 dB, data_fidel=0.176468, data_consist=20.872673, sparsity=350102.159912, overall=1956.109835 < 39.250297
Iteration 20 PSNR_ROI=39.25305480 dB, data_fidel=0.169838, data_consist=18.953619, sparsity=351665.373779, overall=1783.782964 < 39.250297
Iteration 21 PSNR_ROI=39.18948469 dB, data_fidel=0.537755, data_consist=13.899022, sparsity=353302.465576, overall=1631.956182 < 39.250297
Iteration 22 PSNR_ROI=39.07357741 dB, data_fidel=1.040307, data_consist=7.817329, sparsity=355024.709229, overall=1496.207124 < 39.250297
Iteration 23 PSNR_ROI=38.91147344 dB, data_fidel=1.437215, data_consist=2.843303, sparsity=356837.768799, overall=1374.120632 < 39.250297
Iteration 24 PSNR_ROI=38.69168897 dB, data_fidel=1.577686, data_consist=0.334220, sparsity=358759.985352, overall=1265.707431 < 39.250297
Iteration 25 PSNR_ROI=38.43240578 dB, data_fidel=1.436475, data_consist=0.487453, sparsity=360786.563721, overall=1168.370334 < 39.250297
Iteration 26 PSNR_ROI=38.10647946 dB, data_fidel=1.100937, data_consist=2.502168, sparsity=362926.867188, overall=1080.834668 < 39.250297
Processing SIRA: 21310.03 ms
RESULT SIRA IMAGE=abdomen RADIUS=140 PSNR=38.106479 TIME=0.100000 FILE=SIRA/recon_SIRA_abdomen_140.png
Processing SIRA-FIDEL roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.6591796875
iteration 3 err=191.171340942383
iteration 4 err=53.2240371704102
iteration 5 err=9.5346565246582
iteration 6 err=3.79732704162598
iteration 7 err=1.8104475736618
iteration 8 err=1.56369817256927
iteration 9 err=1.34756410121918
iteration 10 err=1.06290376186371
iteration 11 err=0.377655506134033
iteration 12 err=0.244835361838341
iteration 13 err=0.168452024459839
iteration 14 err=0.0963841155171394
iteration 15 err=0.0856921151280403
iteration 16 err=0.0665050521492958
iteration 17 err=0.0730208083987236
iteration 18 err=0.0642218142747879
iteration 19 err=0.0359281860291958
iteration 20 err=0.0286558568477631
CG iteration 1 err=2357.33618164063
CG iteration 2 err=1.52184474468231
CG iteration 3 err=0.574016451835632
CG iteration 4 err=0.265104323625565
CG iteration 5 err=0.0998234748840332
CG iteration 6 err=0.105068720877171
CG iteration 7 err=0.141799792647362
CG iteration 8 err=0.0671615600585938
CG iteration 9 err=0.0328557230532169
CG iteration 10 err=0.081464983522892
CG iteration 11 err=0.0442981719970703
CG iteration 12 err=0.0201371870934963
CG iteration 13 err=0.0165284667164087
CG iteration 14 err=0.0208474174141884
CG iteration 15 err=0.0109640043228865
CG iteration 16 err=0.00611880840733647
CG iteration 17 err=0.0125143956393003
CG iteration 18 err=0.00993344932794571
CG iteration 19 err=0.00457540713250637
CG iteration 20 err=0.00500271841883659
L2 solution PSNR_ROI=23.5747147382115
init v=504.613433837891 u=797.330261230469 u0=177008.921875
solution space=(alpha>=1 OR 0.041805<beta<=222.002012)
Iteration 1 PSNR_ROI=24.03080590 dB, data_fidel=791.010376, data_consist=8.070873, sparsity=266132.353638, overall=8.070873 < 39.866513
Iteration 2 PSNR_ROI=25.37483769 dB, data_fidel=791.010376, data_consist=6.667284, sparsity=266744.231079, overall=6.667284 < 39.866513
Iteration 3 PSNR_ROI=25.99629038 dB, data_fidel=791.010315, data_consist=6.531607, sparsity=267247.938599, overall=6.531607 < 39.866513
Iteration 4 PSNR_ROI=26.46787761 dB, data_fidel=791.010376, data_consist=6.483682, sparsity=267740.400513, overall=6.483682 < 39.866513
Iteration 5 PSNR_ROI=26.89257702 dB, data_fidel=791.010437, data_consist=6.470882, sparsity=268249.025146, overall=6.470882 < 39.866513
Iteration 6 PSNR_ROI=27.33213549 dB, data_fidel=791.010254, data_consist=6.464485, sparsity=268726.809814, overall=6.464485 < 39.866513
Iteration 7 PSNR_ROI=27.72694344 dB, data_fidel=791.010315, data_consist=6.466155, sparsity=269204.595337, overall=6.466155 < 39.866513
Iteration 8 PSNR_ROI=28.12594783 dB, data_fidel=791.010254, data_consist=6.470446, sparsity=269676.546387, overall=6.470446 < 39.866513
Iteration 9 PSNR_ROI=28.49810903 dB, data_fidel=791.010193, data_consist=6.474872, sparsity=270144.288574, overall=6.474872 < 39.866513
Iteration 10 PSNR_ROI=28.87733924 dB, data_fidel=791.010376, data_consist=6.478104, sparsity=270606.203125, overall=6.478104 < 39.866513
Iteration 11 PSNR_ROI=29.23447771 dB, data_fidel=791.010132, data_consist=6.482222, sparsity=271062.495972, overall=6.482222 < 39.866513
Iteration 12 PSNR_ROI=29.59342020 dB, data_fidel=791.010254, data_consist=6.485261, sparsity=271525.557739, overall=6.485261 < 39.866513
Iteration 13 PSNR_ROI=29.93422813 dB, data_fidel=791.010437, data_consist=6.484219, sparsity=271970.559082, overall=6.484219 < 39.866513
Iteration 14 PSNR_ROI=30.23791645 dB, data_fidel=791.010376, data_consist=6.489418, sparsity=272401.206909, overall=6.489418 < 39.866513
Iteration 15 PSNR_ROI=30.50280151 dB, data_fidel=791.010193, data_consist=6.485567, sparsity=272829.639893, overall=6.485567 < 39.866513
Iteration 16 PSNR_ROI=30.72999009 dB, data_fidel=791.010376, data_consist=6.481403, sparsity=273253.742920, overall=6.481403 < 39.866513
Iteration 17 PSNR_ROI=30.93321633 dB, data_fidel=791.010193, data_consist=6.499971, sparsity=273747.009644, overall=6.499971 < 39.866513
Iteration 18 PSNR_ROI=31.18262614 dB, data_fidel=791.010193, data_consist=6.489816, sparsity=274161.367920, overall=6.489816 < 39.866513
Iteration 19 PSNR_ROI=31.30682843 dB, data_fidel=791.010376, data_consist=6.494225, sparsity=274541.901978, overall=6.494225 < 39.866513
Iteration 20 PSNR_ROI=31.44312775 dB, data_fidel=791.010315, data_consist=6.515138, sparsity=274886.404419, overall=6.515138 < 39.866513
Iteration 21 PSNR_ROI=31.52401643 dB, data_fidel=791.010254, data_consist=6.515240, sparsity=275209.313232, overall=6.515240 < 39.866513
Iteration 22 PSNR_ROI=31.60294517 dB, data_fidel=791.010376, data_consist=6.529829, sparsity=275421.868286, overall=6.529829 < 39.866513
Iteration 23 PSNR_ROI=31.66587749 dB, data_fidel=791.010132, data_consist=6.556930, sparsity=275670.533203, overall=6.556930 < 39.866513
Iteration 24 PSNR_ROI=31.73858638 dB, data_fidel=791.010315, data_consist=6.582203, sparsity=275862.214966, overall=6.582203 < 39.866513
Iteration 25 PSNR_ROI=31.76915011 dB, data_fidel=791.010132, data_consist=6.613984, sparsity=276022.125854, overall=6.613984 < 39.866513
Iteration 26 PSNR_ROI=31.76654737 dB, data_fidel=791.010254, data_consist=6.649237, sparsity=276137.252075, overall=6.649237 < 39.866513
Stopping condition (overall_err < 39.866513) reached
Processing SIRA-FIDEL: 33900.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=12 PSNR=31.766548 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_12.png
Processing SIRA-FIDEL roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65954589844
iteration 3 err=191.171340942383
iteration 4 err=53.2240257263184
iteration 5 err=9.53465557098389
iteration 6 err=3.79768633842468
iteration 7 err=1.84527575969696
iteration 8 err=2.70669078826904
iteration 9 err=1.45917654037476
iteration 10 err=0.788549721240997
iteration 11 err=0.376260370016098
iteration 12 err=0.244827210903168
iteration 13 err=0.168452993035316
iteration 14 err=0.096491314470768
iteration 15 err=0.103550426661968
iteration 16 err=0.168586730957031
iteration 17 err=0.0739284828305244
iteration 18 err=0.0373140089213848
iteration 19 err=0.0358353108167648
iteration 20 err=0.0285441260784864
CG iteration 1 err=3760.4609375
CG iteration 2 err=2.56623244285584
CG iteration 3 err=0.916728436946869
CG iteration 4 err=0.354095458984375
CG iteration 5 err=0.103485703468323
CG iteration 6 err=0.0992493405938149
CG iteration 7 err=0.141737192869186
CG iteration 8 err=0.0559097826480865
CG iteration 9 err=0.0745702087879181
CG iteration 10 err=0.110041633248329
CG iteration 11 err=0.0395960509777069
CG iteration 12 err=0.0192232728004456
CG iteration 13 err=0.0232079792767763
CG iteration 14 err=0.0183951985090971
CG iteration 15 err=0.0103668021038175
CG iteration 16 err=0.00988923944532871
CG iteration 17 err=0.0091732507571578
CG iteration 18 err=0.0109411161392927
CG iteration 19 err=0.007342170458287
CG iteration 20 err=0.00863159634172916
L2 solution PSNR_ROI=23.0874449652036
init v=489.074829101563 u=763.996765136719 u0=164159.328125
solution space=(alpha>=1 OR 0.039962<beta<=214.869140)
Iteration 1 PSNR_ROI=23.48404120 dB, data_fidel=755.664490, data_consist=10.689490, sparsity=263290.546143, overall=10.689490 < 38.199838
Iteration 2 PSNR_ROI=24.37336506 dB, data_fidel=755.664551, data_consist=8.818407, sparsity=263901.247681, overall=8.818407 < 38.199838
Iteration 3 PSNR_ROI=24.70732704 dB, data_fidel=755.664612, data_consist=8.648832, sparsity=264419.358887, overall=8.648832 < 38.199838
Iteration 4 PSNR_ROI=24.98280279 dB, data_fidel=755.664429, data_consist=8.603336, sparsity=264928.134766, overall=8.603336 < 38.199838
Iteration 5 PSNR_ROI=25.26382449 dB, data_fidel=755.664551, data_consist=8.582949, sparsity=265426.818604, overall=8.582949 < 38.199838
Iteration 6 PSNR_ROI=25.54100424 dB, data_fidel=755.664673, data_consist=8.581149, sparsity=265914.667847, overall=8.581149 < 38.199838
Iteration 7 PSNR_ROI=25.81568390 dB, data_fidel=755.664429, data_consist=8.569563, sparsity=266356.010864, overall=8.569563 < 38.199838
Iteration 8 PSNR_ROI=26.01724308 dB, data_fidel=755.664429, data_consist=8.578907, sparsity=266834.990112, overall=8.578907 < 38.199838
Iteration 9 PSNR_ROI=26.29711128 dB, data_fidel=755.664490, data_consist=8.578286, sparsity=267321.330322, overall=8.578286 < 38.199838
Iteration 10 PSNR_ROI=26.59037517 dB, data_fidel=755.664551, data_consist=8.577455, sparsity=267784.838867, overall=8.577455 < 38.199838
Iteration 11 PSNR_ROI=26.85610307 dB, data_fidel=755.664551, data_consist=8.578804, sparsity=268250.936401, overall=8.578804 < 38.199838
Iteration 12 PSNR_ROI=27.12591549 dB, data_fidel=755.664368, data_consist=8.580196, sparsity=268713.198975, overall=8.580196 < 38.199838
Iteration 13 PSNR_ROI=27.41269618 dB, data_fidel=755.664551, data_consist=8.577497, sparsity=269114.149780, overall=8.577497 < 38.199838
Iteration 14 PSNR_ROI=27.61209221 dB, data_fidel=755.664429, data_consist=8.579336, sparsity=269557.627319, overall=8.579336 < 38.199838
Iteration 15 PSNR_ROI=27.86613226 dB, data_fidel=755.664612, data_consist=8.576606, sparsity=269993.003418, overall=8.576606 < 38.199838
Iteration 16 PSNR_ROI=28.13690290 dB, data_fidel=755.664429, data_consist=8.572337, sparsity=270420.876343, overall=8.572337 < 38.199838
Iteration 17 PSNR_ROI=28.37126422 dB, data_fidel=755.664612, data_consist=8.569615, sparsity=270839.949219, overall=8.569615 < 38.199838
Iteration 18 PSNR_ROI=28.61685069 dB, data_fidel=755.664429, data_consist=8.570968, sparsity=271245.215942, overall=8.570968 < 38.199838
Iteration 19 PSNR_ROI=28.86480447 dB, data_fidel=755.664429, data_consist=8.575666, sparsity=271632.769897, overall=8.575666 < 38.199838
Iteration 20 PSNR_ROI=29.08380199 dB, data_fidel=755.664429, data_consist=8.579966, sparsity=271998.841797, overall=8.579966 < 38.199838
Iteration 21 PSNR_ROI=29.29518668 dB, data_fidel=755.664490, data_consist=8.594949, sparsity=272352.899780, overall=8.594949 < 38.199838
Iteration 22 PSNR_ROI=29.54971428 dB, data_fidel=755.664551, data_consist=8.608993, sparsity=272651.933228, overall=8.608993 < 38.199838
Iteration 23 PSNR_ROI=29.74673814 dB, data_fidel=755.664490, data_consist=8.629811, sparsity=272907.923096, overall=8.629811 < 38.199838
Iteration 24 PSNR_ROI=29.89629378 dB, data_fidel=755.664490, data_consist=8.658635, sparsity=273173.140503, overall=8.658635 < 38.199838
Iteration 25 PSNR_ROI=30.12596207 dB, data_fidel=755.664429, data_consist=8.683516, sparsity=273341.630127, overall=8.683516 < 38.199838
Iteration 26 PSNR_ROI=30.24719863 dB, data_fidel=755.664490, data_consist=8.709176, sparsity=273471.500610, overall=8.709176 < 38.199838
Stopping condition (overall_err < 38.199838) reached
Processing SIRA-FIDEL: 34320.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=16 PSNR=30.247199 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_16.png
Processing SIRA-FIDEL roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65832519531
iteration 3 err=191.171234130859
iteration 4 err=53.2239990234375
iteration 5 err=9.53465270996094
iteration 6 err=3.79768705368042
iteration 7 err=1.84514153003693
iteration 8 err=2.70353555679321
iteration 9 err=1.45999014377594
iteration 10 err=0.788606345653534
iteration 11 err=0.376261472702026
iteration 12 err=0.244827821850777
iteration 13 err=0.168452382087708
iteration 14 err=0.0964245796203613
iteration 15 err=0.0925884619355202
iteration 16 err=0.172666937112808
iteration 17 err=0.0798298791050911
iteration 18 err=0.037328626960516
iteration 19 err=0.0358338579535484
iteration 20 err=0.0284969378262758
CG iteration 1 err=7262.5517578125
CG iteration 2 err=5.27585935592651
CG iteration 3 err=1.69742465019226
CG iteration 4 err=0.540088772773743
CG iteration 5 err=0.146597176790237
CG iteration 6 err=0.0894292071461678
CG iteration 7 err=0.143046751618385
CG iteration 8 err=0.0563388913869858
CG iteration 9 err=0.219497889280319
CG iteration 10 err=0.0673267468810081
CG iteration 11 err=0.0380789190530777
CG iteration 12 err=0.0335035435855389
CG iteration 13 err=0.0200602989643812
CG iteration 14 err=0.0150237632915378
CG iteration 15 err=0.0144467018544674
CG iteration 16 err=0.0445067174732685
CG iteration 17 err=0.010682562366128
CG iteration 18 err=0.00723952986299992
CG iteration 19 err=0.00782561674714088
CG iteration 20 err=0.0128823630511761
L2 solution PSNR_ROI=22.4128662635669
init v=487.566772460938 u=750.773071289063 u0=146989.375
solution space=(alpha>=1 OR 0.037688<beta<=195.784027)
Iteration 1 PSNR_ROI=22.80387700 dB, data_fidel=738.652161, data_consist=16.425327, sparsity=263328.943237, overall=16.425327 < 37.538654
Iteration 2 PSNR_ROI=23.23783412 dB, data_fidel=738.652222, data_consist=13.138971, sparsity=263902.716064, overall=13.138971 < 37.538654
Iteration 3 PSNR_ROI=23.40575804 dB, data_fidel=738.651978, data_consist=12.821360, sparsity=264438.689331, overall=12.821360 < 37.538654
Iteration 4 PSNR_ROI=23.57935509 dB, data_fidel=738.652161, data_consist=12.730104, sparsity=264965.254272, overall=12.730104 < 37.538654
Iteration 5 PSNR_ROI=23.74633339 dB, data_fidel=738.652100, data_consist=12.699432, sparsity=265504.662231, overall=12.699432 < 37.538654
Iteration 6 PSNR_ROI=23.93290724 dB, data_fidel=738.652039, data_consist=12.683503, sparsity=266023.778809, overall=12.683503 < 37.538654
Iteration 7 PSNR_ROI=24.09837062 dB, data_fidel=738.652100, data_consist=12.670348, sparsity=266534.342407, overall=12.670348 < 37.538654
Iteration 8 PSNR_ROI=24.25995942 dB, data_fidel=738.652039, data_consist=12.668595, sparsity=267022.793091, overall=12.668595 < 37.538654
Iteration 9 PSNR_ROI=24.42496237 dB, data_fidel=738.652161, data_consist=12.668211, sparsity=267520.652832, overall=12.668211 < 37.538654
Iteration 10 PSNR_ROI=24.58982572 dB, data_fidel=738.652039, data_consist=12.662409, sparsity=268013.622925, overall=12.662409 < 37.538654
Iteration 11 PSNR_ROI=24.75944280 dB, data_fidel=738.652222, data_consist=12.659821, sparsity=268498.875488, overall=12.659821 < 37.538654
Iteration 12 PSNR_ROI=24.92654708 dB, data_fidel=738.652161, data_consist=12.657752, sparsity=268976.784546, overall=12.657752 < 37.538654
Iteration 13 PSNR_ROI=25.09917130 dB, data_fidel=738.652039, data_consist=12.657264, sparsity=269443.385376, overall=12.657264 < 37.538654
Iteration 14 PSNR_ROI=25.27315516 dB, data_fidel=738.652039, data_consist=12.644465, sparsity=269900.791504, overall=12.644465 < 37.538654
Iteration 15 PSNR_ROI=25.41914339 dB, data_fidel=738.652344, data_consist=12.653763, sparsity=270358.867554, overall=12.653763 < 37.538654
Iteration 16 PSNR_ROI=25.60057319 dB, data_fidel=738.652161, data_consist=12.641088, sparsity=270818.225098, overall=12.641088 < 37.538654
Iteration 17 PSNR_ROI=25.78399195 dB, data_fidel=738.652161, data_consist=12.627148, sparsity=271264.751831, overall=12.627148 < 37.538654
Iteration 18 PSNR_ROI=25.96035097 dB, data_fidel=738.652100, data_consist=12.613626, sparsity=271679.471313, overall=12.613626 < 37.538654
Iteration 19 PSNR_ROI=26.09816037 dB, data_fidel=738.652100, data_consist=12.614202, sparsity=272071.400391, overall=12.614202 < 37.538654
Iteration 20 PSNR_ROI=26.23102080 dB, data_fidel=738.652161, data_consist=12.622480, sparsity=272437.603394, overall=12.622480 < 37.538654
Iteration 21 PSNR_ROI=26.36605737 dB, data_fidel=738.652100, data_consist=12.635452, sparsity=272785.911865, overall=12.635452 < 37.538654
Iteration 22 PSNR_ROI=26.52125703 dB, data_fidel=738.652161, data_consist=12.646909, sparsity=273085.166748, overall=12.646909 < 37.538654
Iteration 23 PSNR_ROI=26.62594501 dB, data_fidel=738.652039, data_consist=12.660137, sparsity=273265.308228, overall=12.660137 < 37.538654
Iteration 24 PSNR_ROI=26.63045583 dB, data_fidel=738.652100, data_consist=12.687293, sparsity=273478.334961, overall=12.687293 < 37.538654
Iteration 25 PSNR_ROI=26.70123422 dB, data_fidel=738.652161, data_consist=12.713217, sparsity=273651.335571, overall=12.713217 < 37.538654
Iteration 26 PSNR_ROI=26.74975443 dB, data_fidel=738.652161, data_consist=12.746261, sparsity=273779.240967, overall=12.746261 < 37.538654
Stopping condition (overall_err < 37.538654) reached
Processing SIRA-FIDEL: 35190.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=24 PSNR=26.749755 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_24.png
Processing SIRA-FIDEL roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65942382813
iteration 3 err=191.171249389648
iteration 4 err=53.2240295410156
iteration 5 err=9.53466033935547
iteration 6 err=3.79766392707825
iteration 7 err=1.84281885623932
iteration 8 err=2.64783096313477
iteration 9 err=1.47467315196991
iteration 10 err=0.789612174034119
iteration 11 err=0.376266211271286
iteration 12 err=0.244827970862389
iteration 13 err=0.16845241189003
iteration 14 err=0.0964236930012703
iteration 15 err=0.0924433097243309
iteration 16 err=0.172220230102539
iteration 17 err=0.0800320953130722
iteration 18 err=0.0373291037976742
iteration 19 err=0.0358357802033424
iteration 20 err=0.02855952270329
CG iteration 1 err=11545.609375
CG iteration 2 err=8.4600248336792
CG iteration 3 err=2.44759225845337
CG iteration 4 err=0.734146356582642
CG iteration 5 err=0.198842406272888
CG iteration 6 err=0.110104255378246
CG iteration 7 err=0.0740386694669724
CG iteration 8 err=0.0834017395973206
CG iteration 9 err=0.0602819174528122
CG iteration 10 err=0.120999723672867
CG iteration 11 err=0.0582629330456257
CG iteration 12 err=0.0364502742886543
CG iteration 13 err=0.0210062097758055
CG iteration 14 err=0.0152564374729991
CG iteration 15 err=0.0145289823412895
CG iteration 16 err=0.0131480786949396
CG iteration 17 err=0.0442666560411453
CG iteration 18 err=0.0101041663438082
CG iteration 19 err=0.00847844686359167
CG iteration 20 err=0.0155892753973603
L2 solution PSNR_ROI=22.1624507676145
init v=491.947692871094 u=724.140502929688 u0=133621.9375
solution space=(alpha>=1 OR 0.030895<beta<=184.524877)
Iteration 1 PSNR_ROI=22.47804541 dB, data_fidel=708.457092, data_consist=21.864115, sparsity=265699.594727, overall=21.864115 < 36.207025
Iteration 2 PSNR_ROI=22.85726878 dB, data_fidel=708.457092, data_consist=17.300695, sparsity=266297.556152, overall=17.300695 < 36.207025
Iteration 3 PSNR_ROI=23.03457148 dB, data_fidel=708.456909, data_consist=16.785591, sparsity=266854.589478, overall=16.785591 < 36.207025
Iteration 4 PSNR_ROI=23.18552411 dB, data_fidel=708.457031, data_consist=16.670650, sparsity=267433.859131, overall=16.670650 < 36.207025
Iteration 5 PSNR_ROI=23.35973628 dB, data_fidel=708.456970, data_consist=16.614849, sparsity=267972.163452, overall=16.614849 < 36.207025
Iteration 6 PSNR_ROI=23.51579377 dB, data_fidel=708.457153, data_consist=16.586781, sparsity=268513.049805, overall=16.586781 < 36.207025
Iteration 7 PSNR_ROI=23.67020338 dB, data_fidel=708.457153, data_consist=16.576542, sparsity=269046.155762, overall=16.576542 < 36.207025
Iteration 8 PSNR_ROI=23.82542287 dB, data_fidel=708.457092, data_consist=16.567602, sparsity=269573.344971, overall=16.567602 < 36.207025
Iteration 9 PSNR_ROI=23.97912933 dB, data_fidel=708.457031, data_consist=16.566948, sparsity=270093.037598, overall=16.566948 < 36.207025
Iteration 10 PSNR_ROI=24.13183918 dB, data_fidel=708.457153, data_consist=16.561731, sparsity=270623.386230, overall=16.561731 < 36.207025
Iteration 11 PSNR_ROI=24.28995886 dB, data_fidel=708.457153, data_consist=16.558332, sparsity=271138.446411, overall=16.558332 < 36.207025
Iteration 12 PSNR_ROI=24.44269551 dB, data_fidel=708.457214, data_consist=16.542206, sparsity=271636.256592, overall=16.542206 < 36.207025
Iteration 13 PSNR_ROI=24.57953493 dB, data_fidel=708.457092, data_consist=16.544624, sparsity=272121.880371, overall=16.544624 < 36.207025
Iteration 14 PSNR_ROI=24.72797724 dB, data_fidel=708.456970, data_consist=16.523470, sparsity=272585.743530, overall=16.523470 < 36.207025
Iteration 15 PSNR_ROI=24.85443364 dB, data_fidel=708.456970, data_consist=16.532278, sparsity=273053.967529, overall=16.532278 < 36.207025
Iteration 16 PSNR_ROI=25.00441146 dB, data_fidel=708.457336, data_consist=16.518679, sparsity=273511.480225, overall=16.518679 < 36.207025
Iteration 17 PSNR_ROI=25.14139743 dB, data_fidel=708.457092, data_consist=16.498867, sparsity=273960.443481, overall=16.498867 < 36.207025
Iteration 18 PSNR_ROI=25.27552314 dB, data_fidel=708.457153, data_consist=16.488029, sparsity=274394.307251, overall=16.488029 < 36.207025
Iteration 19 PSNR_ROI=25.39751254 dB, data_fidel=708.457092, data_consist=16.501276, sparsity=274800.929321, overall=16.501276 < 36.207025
Iteration 20 PSNR_ROI=25.51882221 dB, data_fidel=708.456970, data_consist=16.482006, sparsity=275187.821289, overall=16.482006 < 36.207025
Iteration 21 PSNR_ROI=25.62982681 dB, data_fidel=708.457092, data_consist=16.497585, sparsity=275538.192261, overall=16.497585 < 36.207025
Iteration 22 PSNR_ROI=25.72800573 dB, data_fidel=708.457153, data_consist=16.503237, sparsity=275860.809814, overall=16.503237 < 36.207025
Iteration 23 PSNR_ROI=25.82626329 dB, data_fidel=708.456970, data_consist=16.505600, sparsity=276140.614258, overall=16.505600 < 36.207025
Iteration 24 PSNR_ROI=25.88889799 dB, data_fidel=708.457153, data_consist=16.511345, sparsity=276375.595703, overall=16.511345 < 36.207025
Iteration 25 PSNR_ROI=25.91084741 dB, data_fidel=708.457153, data_consist=16.523287, sparsity=276557.765625, overall=16.523287 < 36.207025
Iteration 26 PSNR_ROI=25.94843552 dB, data_fidel=708.457092, data_consist=16.567917, sparsity=276649.649292, overall=16.567917 < 36.207025
Stopping condition (overall_err < 36.207025) reached
Processing SIRA-FIDEL: 35660.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=32 PSNR=25.948436 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_32.png
Processing SIRA-FIDEL roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65844726563
iteration 3 err=191.17121887207
iteration 4 err=53.2239990234375
iteration 5 err=9.53464698791504
iteration 6 err=3.79743933677673
iteration 7 err=1.82158768177032
iteration 8 err=2.01256799697876
iteration 9 err=1.68488967418671
iteration 10 err=0.815438866615295
iteration 11 err=0.376381129026413
iteration 12 err=0.244828000664711
iteration 13 err=0.168451607227325
iteration 14 err=0.0963864699006081
iteration 15 err=0.0861523076891899
iteration 16 err=0.0847470462322235
iteration 17 err=0.168307185173035
iteration 18 err=0.0376566872000694
iteration 19 err=0.0358347743749619
iteration 20 err=0.0284927971661091
CG iteration 1 err=22000.7109375
CG iteration 2 err=16.6172389984131
CG iteration 3 err=3.93946099281311
CG iteration 4 err=1.25729894638062
CG iteration 5 err=0.306634217500687
CG iteration 6 err=0.16499799489975
CG iteration 7 err=0.128720074892044
CG iteration 8 err=0.23994879424572
CG iteration 9 err=0.0751813054084778
CG iteration 10 err=0.0491745471954346
CG iteration 11 err=0.0452633313834667
CG iteration 12 err=0.0424596965312958
CG iteration 13 err=0.025682995095849
CG iteration 14 err=0.0318944901227951
CG iteration 15 err=0.079725481569767
CG iteration 16 err=0.0135104674845934
CG iteration 17 err=0.0150714926421642
CG iteration 18 err=0.0145355639979243
CG iteration 19 err=0.0102442549541593
CG iteration 20 err=0.0197517182677984
L2 solution PSNR_ROI=24.5557617927081
init v=504.668304443359 u=707.207153320313 u0=116892.015625
solution space=(alpha>=1 OR 0.024102<beta<=165.286812)
Iteration 1 PSNR_ROI=24.90579895 dB, data_fidel=683.990173, data_consist=32.652004, sparsity=277072.262085, overall=32.652004 < 35.360358
Iteration 2 PSNR_ROI=25.32825766 dB, data_fidel=683.990295, data_consist=26.152115, sparsity=277703.193604, overall=26.152115 < 35.360358
Iteration 3 PSNR_ROI=25.50176082 dB, data_fidel=683.990295, data_consist=25.045612, sparsity=278287.863159, overall=25.045612 < 35.360358
Iteration 4 PSNR_ROI=25.66781548 dB, data_fidel=683.990173, data_consist=24.733961, sparsity=278831.738037, overall=24.733961 < 35.360358
Iteration 5 PSNR_ROI=25.80244134 dB, data_fidel=683.990295, data_consist=24.639484, sparsity=279399.083984, overall=24.639484 < 35.360358
Iteration 6 PSNR_ROI=25.95434900 dB, data_fidel=683.990051, data_consist=24.588528, sparsity=279971.893677, overall=24.588528 < 35.360358
Iteration 7 PSNR_ROI=26.11076864 dB, data_fidel=683.990173, data_consist=24.569292, sparsity=280532.006104, overall=24.569292 < 35.360358
Iteration 8 PSNR_ROI=26.28550829 dB, data_fidel=683.990295, data_consist=24.490803, sparsity=281017.566406, overall=24.490803 < 35.360358
Iteration 9 PSNR_ROI=26.37965783 dB, data_fidel=683.990173, data_consist=24.510792, sparsity=281573.852417, overall=24.510792 < 35.360358
Iteration 10 PSNR_ROI=26.53336286 dB, data_fidel=683.990112, data_consist=24.499424, sparsity=282125.068115, overall=24.499424 < 35.360358
Iteration 11 PSNR_ROI=26.69045758 dB, data_fidel=683.990356, data_consist=24.467983, sparsity=282652.072632, overall=24.467983 < 35.360358
Iteration 12 PSNR_ROI=26.83391045 dB, data_fidel=683.990234, data_consist=24.436028, sparsity=283145.588989, overall=24.436028 < 35.360358
Iteration 13 PSNR_ROI=26.94701429 dB, data_fidel=683.990234, data_consist=24.439009, sparsity=283664.146484, overall=24.439009 < 35.360358
Iteration 14 PSNR_ROI=27.08368718 dB, data_fidel=683.990112, data_consist=24.417665, sparsity=284162.702148, overall=24.417665 < 35.360358
Iteration 15 PSNR_ROI=27.20946305 dB, data_fidel=683.990112, data_consist=24.416031, sparsity=284659.158813, overall=24.416031 < 35.360358
Iteration 16 PSNR_ROI=27.35945612 dB, data_fidel=683.990234, data_consist=24.356535, sparsity=285090.712524, overall=24.356535 < 35.360358
Iteration 17 PSNR_ROI=27.44438376 dB, data_fidel=683.990234, data_consist=24.359526, sparsity=285545.854736, overall=24.359526 < 35.360358
Iteration 18 PSNR_ROI=27.55513696 dB, data_fidel=683.990295, data_consist=24.356781, sparsity=285993.709351, overall=24.356781 < 35.360358
Iteration 19 PSNR_ROI=27.67930024 dB, data_fidel=683.990234, data_consist=24.350426, sparsity=286419.708374, overall=24.350426 < 35.360358
Iteration 20 PSNR_ROI=27.77367061 dB, data_fidel=683.990234, data_consist=24.336771, sparsity=286821.067749, overall=24.336771 < 35.360358
Iteration 21 PSNR_ROI=27.86551871 dB, data_fidel=683.990234, data_consist=24.344870, sparsity=287187.074585, overall=24.344870 < 35.360358
Iteration 22 PSNR_ROI=27.94946492 dB, data_fidel=683.990173, data_consist=24.365417, sparsity=287510.619263, overall=24.365417 < 35.360358
Iteration 23 PSNR_ROI=28.02807183 dB, data_fidel=683.990173, data_consist=24.385004, sparsity=287790.024536, overall=24.385004 < 35.360358
Iteration 24 PSNR_ROI=28.07286943 dB, data_fidel=683.990234, data_consist=24.412636, sparsity=288022.220093, overall=24.412636 < 35.360358
Iteration 25 PSNR_ROI=28.11342276 dB, data_fidel=683.990234, data_consist=24.447859, sparsity=288195.826660, overall=24.447859 < 35.360358
Iteration 26 PSNR_ROI=28.12699093 dB, data_fidel=683.990234, data_consist=24.497662, sparsity=288332.170898, overall=24.497662 < 35.360358
Stopping condition (overall_err < 35.360358) reached
Processing SIRA-FIDEL: 34680.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=48 PSNR=28.126991 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_48.png
Processing SIRA-FIDEL roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65856933594
iteration 3 err=191.171295166016
iteration 4 err=53.2239952087402
iteration 5 err=9.53465843200684
iteration 6 err=3.7976975440979
iteration 7 err=1.8459849357605
iteration 8 err=2.72317266464233
iteration 9 err=1.45495986938477
iteration 10 err=0.788271069526672
iteration 11 err=0.376259505748749
iteration 12 err=0.244827315211296
iteration 13 err=0.168451979756355
iteration 14 err=0.0964314490556717
iteration 15 err=0.0938177183270454
iteration 16 err=0.175369575619698
iteration 17 err=0.0783955529332161
iteration 18 err=0.0373250544071198
iteration 19 err=0.0358481332659721
iteration 20 err=0.0289503820240498
CG iteration 1 err=34191.484375
CG iteration 2 err=25.704927444458
CG iteration 3 err=5.11047887802124
CG iteration 4 err=1.59084784984589
CG iteration 5 err=0.478729248046875
CG iteration 6 err=0.230068862438202
CG iteration 7 err=0.242544010281563
CG iteration 8 err=0.319886088371277
CG iteration 9 err=0.0842530056834221
CG iteration 10 err=0.0679361671209335
CG iteration 11 err=0.0476711802184582
CG iteration 12 err=0.052550308406353
CG iteration 13 err=0.0378192476928234
CG iteration 14 err=0.0346525572240353
CG iteration 15 err=0.127926141023636
CG iteration 16 err=0.0202178675681353
CG iteration 17 err=0.0175870712846518
CG iteration 18 err=0.0116311330348253
CG iteration 19 err=0.0121768964454532
CG iteration 20 err=0.0121287973597646
L2 solution PSNR_ROI=26.3513318498074
init v=526.187438964844 u=682.850769042969 u0=100979.375
solution space=(alpha>=1 OR 0.014927<beta<=147.879126)
Iteration 1 PSNR_ROI=26.68010870 dB, data_fidel=653.052490, data_consist=42.490623, sparsity=287507.747559, overall=42.490623 < 34.142538
Iteration 2 PSNR_ROI=27.02708960 dB, data_fidel=653.052368, data_consist=34.452438, sparsity=288169.332153, overall=34.452438 < 34.142538
Iteration 3 PSNR_ROI=27.18923527 dB, data_fidel=653.052490, data_consist=32.677292, sparsity=288791.602173, overall=32.677292 < 34.142538
Iteration 4 PSNR_ROI=27.34448094 dB, data_fidel=653.052551, data_consist=32.132813, sparsity=289398.280518, overall=32.132813 < 34.142538
Iteration 5 PSNR_ROI=27.52260296 dB, data_fidel=653.052551, data_consist=31.903091, sparsity=289978.579102, overall=31.903091 < 34.142538
Iteration 6 PSNR_ROI=27.65874522 dB, data_fidel=653.052551, data_consist=31.874126, sparsity=290580.355225, overall=31.874126 < 34.142538
Iteration 7 PSNR_ROI=27.84371432 dB, data_fidel=653.052429, data_consist=31.813051, sparsity=291179.399658, overall=31.813051 < 34.142538
Iteration 8 PSNR_ROI=28.00827735 dB, data_fidel=653.052551, data_consist=31.804689, sparsity=291755.476318, overall=31.804689 < 34.142538
Iteration 9 PSNR_ROI=28.18063214 dB, data_fidel=653.052368, data_consist=31.793079, sparsity=292335.416748, overall=31.793079 < 34.142538
Iteration 10 PSNR_ROI=28.37016075 dB, data_fidel=653.052490, data_consist=31.734579, sparsity=292908.352539, overall=31.734579 < 34.142538
Iteration 11 PSNR_ROI=28.53039905 dB, data_fidel=653.052612, data_consist=31.685274, sparsity=293439.797119, overall=31.685274 < 34.142538
Iteration 12 PSNR_ROI=28.67360884 dB, data_fidel=653.052490, data_consist=31.710089, sparsity=294001.564453, overall=31.710089 < 34.142538
Iteration 13 PSNR_ROI=28.84805594 dB, data_fidel=653.052490, data_consist=31.648653, sparsity=294534.264648, overall=31.648653 < 34.142538
Iteration 14 PSNR_ROI=28.99382665 dB, data_fidel=653.052612, data_consist=31.631914, sparsity=295070.684570, overall=31.631914 < 34.142538
Iteration 15 PSNR_ROI=29.15192353 dB, data_fidel=653.052551, data_consist=31.605536, sparsity=295594.619873, overall=31.605536 < 34.142538
Iteration 16 PSNR_ROI=29.31164499 dB, data_fidel=653.052429, data_consist=31.562256, sparsity=296104.558105, overall=31.562256 < 34.142538
Iteration 17 PSNR_ROI=29.44502416 dB, data_fidel=653.052490, data_consist=31.593544, sparsity=296588.616455, overall=31.593544 < 34.142538
Iteration 18 PSNR_ROI=29.60408575 dB, data_fidel=653.052551, data_consist=31.520163, sparsity=297060.253662, overall=31.520163 < 34.142538
Iteration 19 PSNR_ROI=29.73690300 dB, data_fidel=653.052612, data_consist=31.508923, sparsity=297506.545898, overall=31.508923 < 34.142538
Iteration 20 PSNR_ROI=29.88494624 dB, data_fidel=653.052490, data_consist=31.499886, sparsity=297927.740234, overall=31.499886 < 34.142538
Iteration 21 PSNR_ROI=29.98830259 dB, data_fidel=653.052551, data_consist=31.500999, sparsity=298308.610352, overall=31.500999 < 34.142538
Iteration 22 PSNR_ROI=30.07876196 dB, data_fidel=653.052673, data_consist=31.520283, sparsity=298638.585938, overall=31.520283 < 34.142538
Iteration 23 PSNR_ROI=30.18691468 dB, data_fidel=653.052429, data_consist=31.543411, sparsity=298925.956543, overall=31.543411 < 34.142538
Iteration 24 PSNR_ROI=30.25601636 dB, data_fidel=653.052551, data_consist=31.639427, sparsity=299227.031982, overall=31.639427 < 34.142538
Iteration 25 PSNR_ROI=30.36574622 dB, data_fidel=653.052551, data_consist=31.628860, sparsity=299414.789795, overall=31.628860 < 34.142538
Iteration 26 PSNR_ROI=30.40440609 dB, data_fidel=653.052612, data_consist=31.688591, sparsity=299553.497559, overall=31.688591 < 34.142538
Stopping condition (overall_err < 34.142538) reached
Processing SIRA-FIDEL: 34060.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=64 PSNR=30.404406 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_64.png
Processing SIRA-FIDEL roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65856933594
iteration 3 err=191.17121887207
iteration 4 err=53.2239799499512
iteration 5 err=9.53464698791504
iteration 6 err=3.79743814468384
iteration 7 err=1.82160329818726
iteration 8 err=2.01311993598938
iteration 9 err=1.68470394611359
iteration 10 err=0.815388977527618
iteration 11 err=0.37638059258461
iteration 12 err=0.244827672839165
iteration 13 err=0.168451234698296
iteration 14 err=0.0963903144001961
iteration 15 err=0.0868805646896362
iteration 16 err=0.107775568962097
iteration 17 err=0.118932798504829
iteration 18 err=0.0374418348073959
iteration 19 err=0.0358347669243813
iteration 20 err=0.0285270120948553
CG iteration 1 err=47591.42578125
CG iteration 2 err=35.5574493408203
CG iteration 3 err=5.95090627670288
CG iteration 4 err=1.89103293418884
CG iteration 5 err=0.637673795223236
CG iteration 6 err=0.358363568782806
CG iteration 7 err=0.474766224622726
CG iteration 8 err=0.217680335044861
CG iteration 9 err=0.115285888314247
CG iteration 10 err=0.0861510187387466
CG iteration 11 err=0.0513514615595341
CG iteration 12 err=0.0614900328218937
CG iteration 13 err=0.0495296195149422
CG iteration 14 err=0.0805683583021164
CG iteration 15 err=0.0485134124755859
CG iteration 16 err=0.0275489222258329
CG iteration 17 err=0.0189611501991749
CG iteration 18 err=0.0239419750869274
CG iteration 19 err=0.0212240144610405
CG iteration 20 err=0.0125674977898598
L2 solution PSNR_ROI=29.550463588536
init v=559.429931640625 u=647.894592285156 u0=89414.6328125
solution space=(alpha>=1 OR 0.005009<beta<=138.007994)
Iteration 1 PSNR_ROI=29.79993117 dB, data_fidel=611.972412, data_consist=55.613808, sparsity=300354.511475, overall=55.613808 < 32.394730
Iteration 2 PSNR_ROI=30.29814973 dB, data_fidel=611.972412, data_consist=43.845066, sparsity=301061.441406, overall=43.845066 < 32.394730
Iteration 3 PSNR_ROI=30.60435901 dB, data_fidel=611.972534, data_consist=40.485321, sparsity=301739.509277, overall=40.485321 < 32.394730
Iteration 4 PSNR_ROI=30.82217728 dB, data_fidel=611.972412, data_consist=39.206890, sparsity=302393.441650, overall=39.206890 < 32.394730
Iteration 5 PSNR_ROI=31.07146252 dB, data_fidel=611.972534, data_consist=38.686615, sparsity=303041.082031, overall=38.686615 < 32.394730
Iteration 6 PSNR_ROI=31.33310323 dB, data_fidel=611.972534, data_consist=38.641914, sparsity=303775.158691, overall=38.641914 < 32.394730
Iteration 7 PSNR_ROI=31.67568060 dB, data_fidel=611.972534, data_consist=38.351509, sparsity=304407.147949, overall=38.351509 < 32.394730
Iteration 8 PSNR_ROI=31.94704259 dB, data_fidel=611.972412, data_consist=38.302654, sparsity=305038.843994, overall=38.302654 < 32.394730
Iteration 9 PSNR_ROI=32.22164695 dB, data_fidel=611.972351, data_consist=38.339592, sparsity=305698.783203, overall=38.339592 < 32.394730
Iteration 10 PSNR_ROI=32.50470727 dB, data_fidel=611.972473, data_consist=38.228477, sparsity=306308.588379, overall=38.228477 < 32.394730
Iteration 11 PSNR_ROI=32.74721197 dB, data_fidel=611.972534, data_consist=38.252914, sparsity=306927.232178, overall=38.252914 < 32.394730
Iteration 12 PSNR_ROI=33.03732159 dB, data_fidel=611.972412, data_consist=38.204906, sparsity=307525.258057, overall=38.204906 < 32.394730
Iteration 13 PSNR_ROI=33.28503949 dB, data_fidel=611.972412, data_consist=38.111950, sparsity=308077.454102, overall=38.111950 < 32.394730
Iteration 14 PSNR_ROI=33.49625181 dB, data_fidel=611.972473, data_consist=38.097462, sparsity=308598.682373, overall=38.097462 < 32.394730
Iteration 15 PSNR_ROI=33.72589662 dB, data_fidel=611.972412, data_consist=38.079227, sparsity=309135.915527, overall=38.079227 < 32.394730
Iteration 16 PSNR_ROI=33.97072699 dB, data_fidel=611.972473, data_consist=38.019825, sparsity=309661.018066, overall=38.019825 < 32.394730
Iteration 17 PSNR_ROI=34.19359705 dB, data_fidel=611.972412, data_consist=37.974823, sparsity=310171.537842, overall=37.974823 < 32.394730
Iteration 18 PSNR_ROI=34.38801224 dB, data_fidel=611.972351, data_consist=37.949608, sparsity=310657.743896, overall=37.949608 < 32.394730
Iteration 19 PSNR_ROI=34.60887895 dB, data_fidel=611.972351, data_consist=37.866062, sparsity=311084.039795, overall=37.866062 < 32.394730
Iteration 20 PSNR_ROI=34.75618045 dB, data_fidel=611.972290, data_consist=37.913815, sparsity=311506.759277, overall=37.913815 < 32.394730
Iteration 21 PSNR_ROI=34.97917204 dB, data_fidel=611.972534, data_consist=37.884907, sparsity=311893.384277, overall=37.884907 < 32.394730
Iteration 22 PSNR_ROI=35.09866968 dB, data_fidel=611.972473, data_consist=37.938198, sparsity=312240.080078, overall=37.938198 < 32.394730
Iteration 23 PSNR_ROI=35.34434137 dB, data_fidel=611.972473, data_consist=37.857452, sparsity=312457.935547, overall=37.857452 < 32.394730
Iteration 24 PSNR_ROI=35.36585276 dB, data_fidel=611.972534, data_consist=37.939953, sparsity=312680.604736, overall=37.939953 < 32.394730
Iteration 25 PSNR_ROI=35.43687316 dB, data_fidel=611.972351, data_consist=37.997536, sparsity=312856.119873, overall=37.997536 < 32.394730
Iteration 26 PSNR_ROI=35.45268659 dB, data_fidel=611.972473, data_consist=38.089436, sparsity=313009.833984, overall=38.089436 < 32.394730
Stopping condition (overall_err < 32.394730) reached
Processing SIRA-FIDEL: 34010.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=80 PSNR=35.452687 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_80.png
Processing SIRA-FIDEL roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65832519531
iteration 3 err=191.171157836914
iteration 4 err=53.2239379882813
iteration 5 err=9.53463935852051
iteration 6 err=3.79767608642578
iteration 7 err=1.84467589855194
iteration 8 err=2.69263362884521
iteration 9 err=1.46280896663666
iteration 10 err=0.788793981075287
iteration 11 err=0.376261293888092
iteration 12 err=0.244826942682266
iteration 13 err=0.16845116019249
iteration 14 err=0.0963919013738632
iteration 15 err=0.0871731489896774
iteration 16 err=0.115384332835674
iteration 17 err=0.110625244677067
iteration 18 err=0.0374147556722164
iteration 19 err=0.03583924472332
iteration 20 err=0.0286745466291904
CG iteration 1 err=61638.328125
CG iteration 2 err=43.0928955078125
CG iteration 3 err=6.41868162155151
CG iteration 4 err=2.16840243339539
CG iteration 5 err=0.809986889362335
CG iteration 6 err=0.46489217877388
CG iteration 7 err=0.401309490203857
CG iteration 8 err=0.238929733633995
CG iteration 9 err=0.1371990442276
CG iteration 10 err=0.0936456322669983
CG iteration 11 err=0.0559157058596611
CG iteration 12 err=0.0671934634447098
CG iteration 13 err=0.0571534968912601
CG iteration 14 err=0.0398212596774101
CG iteration 15 err=0.129996553063393
CG iteration 16 err=0.0362358428537846
CG iteration 17 err=0.0377859435975552
CG iteration 18 err=0.0250241421163082
CG iteration 19 err=0.0168505199253559
CG iteration 20 err=0.0198775846511126
L2 solution PSNR_ROI=32.5568878809287
init v=563.022338867188 u=561.1103515625 u0=76768.9609375
solution space=(alpha>=1 OR 0.000003<beta<=136.816155)
Iteration 1 PSNR_ROI=32.83683850 dB, data_fidel=519.489075, data_consist=69.568710, sparsity=310375.318604, overall=69.568710 < 28.055518
Iteration 2 PSNR_ROI=33.68585918 dB, data_fidel=519.489136, data_consist=54.914352, sparsity=311085.855957, overall=54.914352 < 28.055518
Iteration 3 PSNR_ROI=34.00750934 dB, data_fidel=519.489075, data_consist=50.125488, sparsity=311760.826660, overall=50.125488 < 28.055518
Iteration 4 PSNR_ROI=34.24282389 dB, data_fidel=519.489014, data_consist=47.692421, sparsity=312418.706787, overall=47.692421 < 28.055518
Iteration 5 PSNR_ROI=34.49105640 dB, data_fidel=519.489136, data_consist=46.402355, sparsity=313060.188721, overall=46.402355 < 28.055518
Iteration 6 PSNR_ROI=34.79018791 dB, data_fidel=519.489014, data_consist=45.659668, sparsity=313709.858154, overall=45.659668 < 28.055518
Iteration 7 PSNR_ROI=35.08471165 dB, data_fidel=519.489075, data_consist=45.230949, sparsity=314348.079834, overall=45.230949 < 28.055518
Iteration 8 PSNR_ROI=35.33495318 dB, data_fidel=519.489075, data_consist=45.071854, sparsity=314967.780273, overall=45.071854 < 28.055518
Iteration 9 PSNR_ROI=35.74670094 dB, data_fidel=519.489075, data_consist=44.829994, sparsity=315596.281982, overall=44.829994 < 28.055518
Iteration 10 PSNR_ROI=35.98593716 dB, data_fidel=519.489075, data_consist=44.737797, sparsity=316205.703613, overall=44.737797 < 28.055518
Iteration 11 PSNR_ROI=36.27364484 dB, data_fidel=519.489014, data_consist=44.692543, sparsity=316827.241699, overall=44.692543 < 28.055518
Iteration 12 PSNR_ROI=36.59184005 dB, data_fidel=519.489014, data_consist=44.568638, sparsity=317418.449463, overall=44.568638 < 28.055518
Iteration 13 PSNR_ROI=36.86197622 dB, data_fidel=519.489075, data_consist=44.533489, sparsity=317983.877930, overall=44.533489 < 28.055518
Iteration 14 PSNR_ROI=37.17766772 dB, data_fidel=519.489014, data_consist=44.445976, sparsity=318544.139404, overall=44.445976 < 28.055518
Iteration 15 PSNR_ROI=37.45878234 dB, data_fidel=519.489075, data_consist=44.389709, sparsity=319081.414551, overall=44.389709 < 28.055518
Iteration 16 PSNR_ROI=37.76476070 dB, data_fidel=519.489014, data_consist=44.336296, sparsity=319633.273926, overall=44.336296 < 28.055518
Iteration 17 PSNR_ROI=38.02366298 dB, data_fidel=519.489014, data_consist=44.236069, sparsity=320139.518799, overall=44.236069 < 28.055518
Iteration 18 PSNR_ROI=38.30016184 dB, data_fidel=519.489014, data_consist=44.167160, sparsity=320624.331543, overall=44.167160 < 28.055518
Iteration 19 PSNR_ROI=38.57601819 dB, data_fidel=519.489014, data_consist=44.087570, sparsity=321094.724121, overall=44.087570 < 28.055518
Iteration 20 PSNR_ROI=38.75511904 dB, data_fidel=519.489014, data_consist=44.093899, sparsity=321539.908447, overall=44.093899 < 28.055518
Iteration 21 PSNR_ROI=38.87726827 dB, data_fidel=519.489136, data_consist=44.039108, sparsity=321922.523438, overall=44.039108 < 28.055518
Iteration 22 PSNR_ROI=39.06721949 dB, data_fidel=519.489014, data_consist=44.189030, sparsity=322321.053955, overall=44.189030 < 28.055518
Iteration 23 PSNR_ROI=39.38065817 dB, data_fidel=519.489014, data_consist=44.052906, sparsity=322613.206299, overall=44.052906 < 28.055518
Iteration 24 PSNR_ROI=39.45538799 dB, data_fidel=519.489014, data_consist=44.103710, sparsity=322841.196289, overall=44.103710 < 28.055518
Iteration 25 PSNR_ROI=39.61992375 dB, data_fidel=519.489075, data_consist=44.160233, sparsity=323023.302246, overall=44.160233 < 28.055518
Iteration 26 PSNR_ROI=39.65937430 dB, data_fidel=519.489014, data_consist=44.241459, sparsity=323156.919678, overall=44.241459 < 28.055518
Stopping condition (overall_err < 28.055518) reached
Processing SIRA-FIDEL: 33850.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=96 PSNR=39.659373 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_96.png
Processing SIRA-FIDEL roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65893554688
iteration 3 err=191.171295166016
iteration 4 err=53.2240142822266
iteration 5 err=9.53464889526367
iteration 6 err=3.79732275009155
iteration 7 err=1.81017160415649
iteration 8 err=1.55139183998108
iteration 9 err=1.2809944152832
iteration 10 err=1.11208248138428
iteration 11 err=0.377951949834824
iteration 12 err=0.244836285710335
iteration 13 err=0.168451532721519
iteration 14 err=0.0963842272758484
iteration 15 err=0.0857830941677094
iteration 16 err=0.0703896731138229
iteration 17 err=0.2275280803442
iteration 18 err=0.0389892682433128
iteration 19 err=0.0358507707715034
iteration 20 err=0.0288634821772575
CG iteration 1 err=88794.046875
CG iteration 2 err=49.3360023498535
CG iteration 3 err=8.91413497924805
CG iteration 4 err=4.31355476379395
CG iteration 5 err=1.91375625133514
CG iteration 6 err=0.658089995384216
CG iteration 7 err=0.306636214256287
CG iteration 8 err=0.492470651865005
CG iteration 9 err=0.261273771524429
CG iteration 10 err=0.134395375847816
CG iteration 11 err=0.0839070901274681
CG iteration 12 err=0.101705230772495
CG iteration 13 err=0.0667409673333168
CG iteration 14 err=0.0616404339671135
CG iteration 15 err=0.0576067827641964
CG iteration 16 err=0.161262065172195
CG iteration 17 err=0.035878099501133
CG iteration 18 err=0.0249696541577578
CG iteration 19 err=0.0275534000247717
CG iteration 20 err=0.0197655316442251
L2 solution PSNR_ROI=32.6152323759828
init v=498.167022705078 u=472.305572509766 u0=51285.296875
solution space=(alpha>=1 OR 0.000730<beta<=108.584992)
Iteration 1 PSNR_ROI=32.61653837 dB, data_fidel=419.707306, data_consist=92.954758, sparsity=323725.479248, overall=92.954758 < 23.615279
Iteration 2 PSNR_ROI=32.93690233 dB, data_fidel=419.707336, data_consist=71.359215, sparsity=324426.159424, overall=71.359215 < 23.615279
Iteration 3 PSNR_ROI=33.21128702 dB, data_fidel=419.707336, data_consist=66.586609, sparsity=325098.775391, overall=66.586609 < 23.615279
Iteration 4 PSNR_ROI=33.48142462 dB, data_fidel=419.707367, data_consist=63.994221, sparsity=325741.802490, overall=63.994221 < 23.615279
Iteration 5 PSNR_ROI=33.65596469 dB, data_fidel=419.707306, data_consist=62.283451, sparsity=326400.319580, overall=62.283451 < 23.615279
Iteration 6 PSNR_ROI=33.85474515 dB, data_fidel=419.707336, data_consist=61.086124, sparsity=327023.750977, overall=61.086124 < 23.615279
Iteration 7 PSNR_ROI=34.05698450 dB, data_fidel=419.707306, data_consist=60.238651, sparsity=327639.730713, overall=60.238651 < 23.615279
Iteration 8 PSNR_ROI=34.26156396 dB, data_fidel=419.707275, data_consist=59.603367, sparsity=328248.097900, overall=59.603367 < 23.615279
Iteration 9 PSNR_ROI=34.42702684 dB, data_fidel=419.707397, data_consist=59.164410, sparsity=328852.006836, overall=59.164410 < 23.615279
Iteration 10 PSNR_ROI=34.59799610 dB, data_fidel=419.707367, data_consist=58.903824, sparsity=329463.204590, overall=58.903824 < 23.615279
Iteration 11 PSNR_ROI=34.67697209 dB, data_fidel=419.707336, data_consist=58.589890, sparsity=330029.834961, overall=58.589890 < 23.615279
Iteration 12 PSNR_ROI=34.85634550 dB, data_fidel=419.707275, data_consist=58.315601, sparsity=330589.750977, overall=58.315601 < 23.615279
Iteration 13 PSNR_ROI=34.98407732 dB, data_fidel=419.707336, data_consist=58.151192, sparsity=331142.023193, overall=58.151192 < 23.615279
Iteration 14 PSNR_ROI=35.06846621 dB, data_fidel=419.707367, data_consist=57.975163, sparsity=331685.887939, overall=57.975163 < 23.615279
Iteration 15 PSNR_ROI=35.05060282 dB, data_fidel=419.707275, data_consist=57.901356, sparsity=332183.727539, overall=57.901356 < 23.615279
Iteration 16 PSNR_ROI=35.19299033 dB, data_fidel=419.707367, data_consist=57.730701, sparsity=332686.356445, overall=57.730701 < 23.615279
Iteration 17 PSNR_ROI=35.12569221 dB, data_fidel=419.707397, data_consist=57.714760, sparsity=333180.798096, overall=57.714760 < 23.615279
Iteration 18 PSNR_ROI=35.23142530 dB, data_fidel=419.707367, data_consist=57.516953, sparsity=333639.709473, overall=57.516953 < 23.615279
Iteration 19 PSNR_ROI=35.17754866 dB, data_fidel=419.707306, data_consist=57.407627, sparsity=334068.614746, overall=57.407627 < 23.615279
Iteration 20 PSNR_ROI=35.14881487 dB, data_fidel=419.707306, data_consist=57.350571, sparsity=334459.682861, overall=57.350571 < 23.615279
Iteration 21 PSNR_ROI=35.21690764 dB, data_fidel=419.707336, data_consist=57.266926, sparsity=334818.212646, overall=57.266926 < 23.615279
Iteration 22 PSNR_ROI=35.17723193 dB, data_fidel=419.707367, data_consist=57.217545, sparsity=335128.864502, overall=57.217545 < 23.615279
Iteration 23 PSNR_ROI=35.20650579 dB, data_fidel=419.707367, data_consist=57.201931, sparsity=335395.895752, overall=57.201931 < 23.615279
Iteration 24 PSNR_ROI=35.13035266 dB, data_fidel=419.707367, data_consist=57.228073, sparsity=335598.264893, overall=57.228073 < 23.615279
Iteration 25 PSNR_ROI=35.13683128 dB, data_fidel=419.707367, data_consist=57.294643, sparsity=335738.463623, overall=57.294643 < 23.615279
Iteration 26 PSNR_ROI=35.18169906 dB, data_fidel=419.707306, data_consist=57.329708, sparsity=335845.191895, overall=57.329708 < 23.615279
Stopping condition (overall_err < 23.615279) reached
Processing SIRA-FIDEL: 35130.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=128 PSNR=35.181699 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_128.png
Processing SIRA-FIDEL roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.6591796875
iteration 3 err=191.171279907227
iteration 4 err=53.2239952087402
iteration 5 err=9.53464126586914
iteration 6 err=3.7973198890686
iteration 7 err=1.81034028530121
iteration 8 err=1.5590398311615
iteration 9 err=1.32353889942169
iteration 10 err=1.07977247238159
iteration 11 err=0.377754777669907
iteration 12 err=0.244835272431374
iteration 13 err=0.168451428413391
iteration 14 err=0.0963836014270782
iteration 15 err=0.0856914296746254
iteration 16 err=0.0665033683180809
iteration 17 err=0.072868674993515
iteration 18 err=0.0643378794193268
iteration 19 err=0.0359247699379921
iteration 20 err=0.0285574067384005
CG iteration 1 err=98444.3203125
CG iteration 2 err=61.0095100402832
CG iteration 3 err=16.8099765777588
CG iteration 4 err=6.95401763916016
CG iteration 5 err=2.62476968765259
CG iteration 6 err=0.789226889610291
CG iteration 7 err=0.721546828746796
CG iteration 8 err=0.571959733963013
CG iteration 9 err=0.234759613871574
CG iteration 10 err=0.167082130908966
CG iteration 11 err=0.120023012161255
CG iteration 12 err=0.109220989048481
CG iteration 13 err=0.0710453167557716
CG iteration 14 err=0.0683095455169678
CG iteration 15 err=0.203007400035858
CG iteration 16 err=0.0701498538255692
CG iteration 17 err=0.0395403951406479
CG iteration 18 err=0.0291196908801794
CG iteration 19 err=0.0264097433537245
CG iteration 20 err=0.0240707360208035
L2 solution PSNR_ROI=34.0693018624631
init v=495.716979980469 u=426.599884033203 u0=43842.2890625
solution space=(alpha>=1 OR 0.006079<beta<=102.771451)
Iteration 1 PSNR_ROI=34.08849369 dB, data_fidel=370.134918, data_consist=100.215584, sparsity=328362.005615, overall=100.215584 < 21.329994
Iteration 2 PSNR_ROI=34.37628233 dB, data_fidel=370.134888, data_consist=74.127968, sparsity=328996.807861, overall=74.127968 < 21.329994
Iteration 3 PSNR_ROI=34.59148033 dB, data_fidel=370.134918, data_consist=69.380486, sparsity=329611.069092, overall=69.380486 < 21.329994
Iteration 4 PSNR_ROI=34.78808441 dB, data_fidel=370.134888, data_consist=67.340004, sparsity=330244.657715, overall=67.340004 < 21.329994
Iteration 5 PSNR_ROI=35.00582356 dB, data_fidel=370.134857, data_consist=65.745483, sparsity=330877.386719, overall=65.745483 < 21.329994
Iteration 6 PSNR_ROI=35.07489738 dB, data_fidel=370.134949, data_consist=64.928406, sparsity=331499.669189, overall=64.928406 < 21.329994
Iteration 7 PSNR_ROI=35.13828477 dB, data_fidel=370.134888, data_consist=64.349945, sparsity=332095.574707, overall=64.349945 < 21.329994
Iteration 8 PSNR_ROI=35.16474316 dB, data_fidel=370.134888, data_consist=64.041985, sparsity=332673.485596, overall=64.041985 < 21.329994
Iteration 9 PSNR_ROI=35.32433895 dB, data_fidel=370.134888, data_consist=63.667740, sparsity=333260.272217, overall=63.667740 < 21.329994
Iteration 10 PSNR_ROI=35.25619040 dB, data_fidel=370.134949, data_consist=63.404339, sparsity=333800.092773, overall=63.404339 < 21.329994
Iteration 11 PSNR_ROI=35.41936231 dB, data_fidel=370.134918, data_consist=63.048279, sparsity=334364.575195, overall=63.048279 < 21.329994
Iteration 12 PSNR_ROI=35.39194199 dB, data_fidel=370.134949, data_consist=62.880695, sparsity=334919.251221, overall=62.880695 < 21.329994
Iteration 13 PSNR_ROI=35.32539602 dB, data_fidel=370.134918, data_consist=62.687687, sparsity=335458.100098, overall=62.687687 < 21.329994
Iteration 14 PSNR_ROI=35.27865709 dB, data_fidel=370.134888, data_consist=62.548252, sparsity=335986.682129, overall=62.548252 < 21.329994
Iteration 15 PSNR_ROI=35.20642535 dB, data_fidel=370.134827, data_consist=62.508991, sparsity=336483.875244, overall=62.508991 < 21.329994
Iteration 16 PSNR_ROI=35.10298875 dB, data_fidel=370.134888, data_consist=62.360958, sparsity=336956.980957, overall=62.360958 < 21.329994
Iteration 17 PSNR_ROI=35.08505704 dB, data_fidel=370.134827, data_consist=62.256180, sparsity=337407.553711, overall=62.256180 < 21.329994
Iteration 18 PSNR_ROI=35.02649544 dB, data_fidel=370.134857, data_consist=62.186108, sparsity=337832.117676, overall=62.186108 < 21.329994
Iteration 19 PSNR_ROI=35.00853055 dB, data_fidel=370.134888, data_consist=61.993465, sparsity=338244.758057, overall=61.993465 < 21.329994
Iteration 20 PSNR_ROI=34.94371459 dB, data_fidel=370.134949, data_consist=62.056362, sparsity=338599.082031, overall=62.056362 < 21.329994
Iteration 21 PSNR_ROI=34.96978765 dB, data_fidel=370.134857, data_consist=62.011414, sparsity=338926.564209, overall=62.011414 < 21.329994
Iteration 22 PSNR_ROI=34.96963008 dB, data_fidel=370.134857, data_consist=61.981472, sparsity=339201.871094, overall=61.981472 < 21.329994
Iteration 23 PSNR_ROI=34.97023722 dB, data_fidel=370.134918, data_consist=61.979839, sparsity=339416.189697, overall=61.979839 < 21.329994
Iteration 24 PSNR_ROI=35.03097416 dB, data_fidel=370.134949, data_consist=61.915981, sparsity=339616.278076, overall=61.915981 < 21.329994
Iteration 25 PSNR_ROI=35.04104431 dB, data_fidel=370.134857, data_consist=61.999420, sparsity=339787.408691, overall=61.999420 < 21.329994
Iteration 26 PSNR_ROI=34.97251779 dB, data_fidel=370.134918, data_consist=62.067574, sparsity=339919.034180, overall=62.067574 < 21.329994
Stopping condition (overall_err < 21.329994) reached
Processing SIRA-FIDEL: 34005.05 ms
RESULT SIRA-FIDEL IMAGE=mouse RADIUS=140 PSNR=34.972518 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_mouse_140.png
Processing SIRA-FIDEL roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18408203125
iteration 3 err=1209.96215820313
iteration 4 err=269.338043212891
iteration 5 err=98.2791519165039
iteration 6 err=22.0614585876465
iteration 7 err=9.80592727661133
iteration 8 err=8.07371139526367
iteration 9 err=10.2513055801392
iteration 10 err=3.77064633369446
iteration 11 err=2.31874179840088
iteration 12 err=1.24721896648407
iteration 13 err=0.792603731155396
iteration 14 err=0.466589838266373
iteration 15 err=0.398581951856613
iteration 16 err=1.22004997730255
iteration 17 err=0.364114731550217
iteration 18 err=0.504031777381897
iteration 19 err=0.238700687885284
iteration 20 err=0.213694095611572
CG iteration 1 err=5128.40625
CG iteration 2 err=56.9622421264648
CG iteration 3 err=3.78300309181213
CG iteration 4 err=0.816746771335602
CG iteration 5 err=0.384623259305954
CG iteration 6 err=0.351438194513321
CG iteration 7 err=0.217061549425125
CG iteration 8 err=0.142621010541916
CG iteration 9 err=0.0935274437069893
CG iteration 10 err=0.257718235254288
CG iteration 11 err=0.0952949076890945
CG iteration 12 err=0.0521725416183472
CG iteration 13 err=0.042520135641098
CG iteration 14 err=0.0450305789709091
CG iteration 15 err=0.0221400801092386
CG iteration 16 err=0.0173959899693727
CG iteration 17 err=0.0233530905097723
CG iteration 18 err=0.0515656471252441
CG iteration 19 err=0.0200528521090746
CG iteration 20 err=0.0150451688095927
L2 solution PSNR_ROI=20.7605668864622
init v=560.3623046875 u=1208.78210449219 u0=239025.984375
solution space=(alpha>=1 OR 0.101848<beta<=197.741167)
Initial conditions are not satisfied!
Iteration 1 PSNR_ROI=20.94655569 dB, data_fidel=1193.225098, data_consist=18.420238, sparsity=253736.110352, overall=18.420238 < 60.439105
Iteration 2 PSNR_ROI=21.03379782 dB, data_fidel=1193.225098, data_consist=16.557961, sparsity=254173.168823, overall=16.557961 < 60.439105
Iteration 3 PSNR_ROI=21.15292360 dB, data_fidel=1193.225098, data_consist=16.386980, sparsity=254578.410767, overall=16.386980 < 60.439105
Iteration 4 PSNR_ROI=21.25986069 dB, data_fidel=1193.225220, data_consist=16.342663, sparsity=254974.111694, overall=16.342663 < 60.439105
Iteration 5 PSNR_ROI=21.35435276 dB, data_fidel=1193.225220, data_consist=16.330372, sparsity=255367.105835, overall=16.330372 < 60.439105
Iteration 6 PSNR_ROI=21.44239686 dB, data_fidel=1193.225220, data_consist=16.330727, sparsity=255759.191040, overall=16.330727 < 60.439105
Iteration 7 PSNR_ROI=21.52551814 dB, data_fidel=1193.225220, data_consist=16.337006, sparsity=256152.026001, overall=16.337006 < 60.439105
Iteration 8 PSNR_ROI=21.60490227 dB, data_fidel=1193.225220, data_consist=16.346794, sparsity=256545.000244, overall=16.346794 < 60.439105
Iteration 9 PSNR_ROI=21.68307197 dB, data_fidel=1193.225220, data_consist=16.358122, sparsity=256942.161377, overall=16.358122 < 60.439105
Iteration 10 PSNR_ROI=21.76227586 dB, data_fidel=1193.225220, data_consist=16.368933, sparsity=257333.836182, overall=16.368933 < 60.439105
Iteration 11 PSNR_ROI=21.83591033 dB, data_fidel=1193.225220, data_consist=16.380348, sparsity=257724.497559, overall=16.380348 < 60.439105
Iteration 12 PSNR_ROI=21.90846685 dB, data_fidel=1193.225220, data_consist=16.389853, sparsity=258113.170288, overall=16.389853 < 60.439105
Iteration 13 PSNR_ROI=21.98554807 dB, data_fidel=1193.225098, data_consist=16.400579, sparsity=258499.117065, overall=16.400579 < 60.439105
Iteration 14 PSNR_ROI=22.05264737 dB, data_fidel=1193.225220, data_consist=16.409218, sparsity=258881.175171, overall=16.409218 < 60.439105
Iteration 15 PSNR_ROI=22.12286699 dB, data_fidel=1193.225220, data_consist=16.418423, sparsity=259258.949341, overall=16.418423 < 60.439105
Iteration 16 PSNR_ROI=22.18220967 dB, data_fidel=1193.225342, data_consist=16.427582, sparsity=259631.648804, overall=16.427582 < 60.439105
Iteration 17 PSNR_ROI=22.23806672 dB, data_fidel=1193.224976, data_consist=16.437153, sparsity=259995.269409, overall=16.437153 < 60.439105
Iteration 18 PSNR_ROI=22.28571473 dB, data_fidel=1193.225098, data_consist=16.449802, sparsity=260356.317993, overall=16.449802 < 60.439105
Iteration 19 PSNR_ROI=22.33675731 dB, data_fidel=1193.225220, data_consist=16.406570, sparsity=260703.609009, overall=16.406570 < 60.439105
Iteration 20 PSNR_ROI=22.40730664 dB, data_fidel=1193.225220, data_consist=16.478590, sparsity=261043.916748, overall=16.478590 < 60.439105
Iteration 21 PSNR_ROI=22.43560958 dB, data_fidel=1193.225342, data_consist=16.509926, sparsity=261368.677368, overall=16.509926 < 60.439105
Iteration 22 PSNR_ROI=22.45626940 dB, data_fidel=1193.225464, data_consist=16.545053, sparsity=261676.802612, overall=16.545053 < 60.439105
Iteration 23 PSNR_ROI=22.46594935 dB, data_fidel=1193.225342, data_consist=16.587587, sparsity=261966.150024, overall=16.587587 < 60.439105
Iteration 24 PSNR_ROI=22.47536467 dB, data_fidel=1193.225220, data_consist=16.625101, sparsity=262350.104736, overall=16.625101 < 60.439105
Iteration 25 PSNR_ROI=22.54465141 dB, data_fidel=1193.225098, data_consist=16.692896, sparsity=262594.280762, overall=16.692896 < 60.439105
Iteration 26 PSNR_ROI=22.52169972 dB, data_fidel=1193.225220, data_consist=16.757774, sparsity=262813.189941, overall=16.757774 < 60.439105
Stopping condition (overall_err < 60.439105) reached
Processing SIRA-FIDEL: 20980.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=12 PSNR=22.521700 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_12.png
Processing SIRA-FIDEL roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18408203125
iteration 3 err=1209.96240234375
iteration 4 err=269.338073730469
iteration 5 err=98.279167175293
iteration 6 err=22.0614452362061
iteration 7 err=9.80520915985107
iteration 8 err=8.03622436523438
iteration 9 err=10.2404823303223
iteration 10 err=3.78025031089783
iteration 11 err=2.31880450248718
iteration 12 err=1.24721574783325
iteration 13 err=0.79260265827179
iteration 14 err=0.466634124517441
iteration 15 err=0.399777680635452
iteration 16 err=1.20450842380524
iteration 17 err=0.381449103355408
iteration 18 err=0.497020304203033
iteration 19 err=0.233872637152672
iteration 20 err=0.21337166428566
CG iteration 1 err=8238.9951171875
CG iteration 2 err=84.8978042602539
CG iteration 3 err=5.7777214050293
CG iteration 4 err=1.32571542263031
CG iteration 5 err=0.538421213626862
CG iteration 6 err=0.375276446342468
CG iteration 7 err=0.217874616384506
CG iteration 8 err=0.142546162009239
CG iteration 9 err=0.139862090349197
CG iteration 10 err=0.35361459851265
CG iteration 11 err=0.0721260160207748
CG iteration 12 err=0.0510190464556217
CG iteration 13 err=0.0723328590393066
CG iteration 14 err=0.041462816298008
CG iteration 15 err=0.0272337645292282
CG iteration 16 err=0.02617222443223
CG iteration 17 err=0.0323178023099899
CG iteration 18 err=0.0530974008142948
CG iteration 19 err=0.0261167921125889
CG iteration 20 err=0.0190505068749189
L2 solution PSNR_ROI=21.0206621184042
init v=562.818359375 u=1165.65368652344 u0=227549.546875
solution space=(alpha>=1 OR 0.093108<beta<=195.211965)
Iteration 1 PSNR_ROI=21.25235990 dB, data_fidel=1144.610840, data_consist=24.974094, sparsity=254526.330200, overall=24.974094 < 58.282684
Iteration 2 PSNR_ROI=21.43939497 dB, data_fidel=1144.611206, data_consist=22.518812, sparsity=254983.887817, overall=22.518812 < 58.282684
Iteration 3 PSNR_ROI=21.54083224 dB, data_fidel=1144.610962, data_consist=22.290251, sparsity=255410.590210, overall=22.290251 < 58.282684
Iteration 4 PSNR_ROI=21.63832780 dB, data_fidel=1144.611084, data_consist=22.236546, sparsity=255828.926025, overall=22.236546 < 58.282684
Iteration 5 PSNR_ROI=21.72709164 dB, data_fidel=1144.610840, data_consist=22.219667, sparsity=256245.788940, overall=22.219667 < 58.282684
Iteration 6 PSNR_ROI=21.80303063 dB, data_fidel=1144.610962, data_consist=22.226009, sparsity=256662.506470, overall=22.226009 < 58.282684
Iteration 7 PSNR_ROI=21.87960691 dB, data_fidel=1144.611084, data_consist=22.235073, sparsity=257080.264526, overall=22.235073 < 58.282684
Iteration 8 PSNR_ROI=21.95178941 dB, data_fidel=1144.611084, data_consist=22.248150, sparsity=257498.887573, overall=22.248150 < 58.282684
Iteration 9 PSNR_ROI=22.02312997 dB, data_fidel=1144.610718, data_consist=22.262018, sparsity=257916.106689, overall=22.262018 < 58.282684
Iteration 10 PSNR_ROI=22.09190105 dB, data_fidel=1144.610962, data_consist=22.276022, sparsity=258333.578491, overall=22.276022 < 58.282684
Iteration 11 PSNR_ROI=22.15862567 dB, data_fidel=1144.610962, data_consist=22.290009, sparsity=258749.609009, overall=22.290009 < 58.282684
Iteration 12 PSNR_ROI=22.22426618 dB, data_fidel=1144.611084, data_consist=22.302650, sparsity=259162.959351, overall=22.302650 < 58.282684
Iteration 13 PSNR_ROI=22.28807869 dB, data_fidel=1144.611084, data_consist=22.312399, sparsity=259559.791748, overall=22.312399 < 58.282684
Iteration 14 PSNR_ROI=22.34273108 dB, data_fidel=1144.610962, data_consist=22.324612, sparsity=259964.949219, overall=22.324612 < 58.282684
Iteration 15 PSNR_ROI=22.40029962 dB, data_fidel=1144.611206, data_consist=22.323343, sparsity=260364.109009, overall=22.323343 < 58.282684
Iteration 16 PSNR_ROI=22.46793153 dB, data_fidel=1144.611084, data_consist=22.342882, sparsity=260758.248169, overall=22.342882 < 58.282684
Iteration 17 PSNR_ROI=22.51785932 dB, data_fidel=1144.610962, data_consist=22.354315, sparsity=261145.089722, overall=22.354315 < 58.282684
Iteration 18 PSNR_ROI=22.56483284 dB, data_fidel=1144.611084, data_consist=22.366402, sparsity=261522.968872, overall=22.366402 < 58.282684
Iteration 19 PSNR_ROI=22.61001089 dB, data_fidel=1144.610962, data_consist=22.359535, sparsity=261891.529907, overall=22.359535 < 58.282684
Iteration 20 PSNR_ROI=22.63264153 dB, data_fidel=1144.611084, data_consist=22.399559, sparsity=262240.445068, overall=22.399559 < 58.282684
Iteration 21 PSNR_ROI=22.66144863 dB, data_fidel=1144.611084, data_consist=22.424128, sparsity=262580.882446, overall=22.424128 < 58.282684
Iteration 22 PSNR_ROI=22.68079139 dB, data_fidel=1144.611206, data_consist=22.463182, sparsity=262903.476074, overall=22.463182 < 58.282684
Iteration 23 PSNR_ROI=22.69939929 dB, data_fidel=1144.610962, data_consist=22.506124, sparsity=263205.540649, overall=22.506124 < 58.282684
Iteration 24 PSNR_ROI=22.71031258 dB, data_fidel=1144.610840, data_consist=22.557043, sparsity=263483.589600, overall=22.557043 < 58.282684
Iteration 25 PSNR_ROI=22.71373559 dB, data_fidel=1144.611084, data_consist=22.615082, sparsity=263736.779419, overall=22.615082 < 58.282684
Iteration 26 PSNR_ROI=22.70880759 dB, data_fidel=1144.610962, data_consist=22.679815, sparsity=263965.816406, overall=22.679815 < 58.282684
Stopping condition (overall_err < 58.282684) reached
Processing SIRA-FIDEL: 21340.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=16 PSNR=22.708808 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_16.png
Processing SIRA-FIDEL roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96215820313
iteration 4 err=269.338134765625
iteration 5 err=98.279167175293
iteration 6 err=22.061315536499
iteration 7 err=9.79489994049072
iteration 8 err=7.48212957382202
iteration 9 err=9.28119945526123
iteration 10 err=4.07272005081177
iteration 11 err=2.32101249694824
iteration 12 err=1.24723839759827
iteration 13 err=0.792606294155121
iteration 14 err=0.466614127159119
iteration 15 err=0.383420586585999
iteration 16 err=1.03781998157501
iteration 17 err=0.441371917724609
iteration 18 err=0.485547930002213
iteration 19 err=0.230473786592484
iteration 20 err=0.213150188326836
CG iteration 1 err=16180.90234375
CG iteration 2 err=155.074645996094
CG iteration 3 err=10.8845415115356
CG iteration 4 err=2.74894714355469
CG iteration 5 err=1.17000079154968
CG iteration 6 err=0.496127545833588
CG iteration 7 err=0.259820252656937
CG iteration 8 err=0.15096490085125
CG iteration 9 err=0.749016404151917
CG iteration 10 err=0.124251827597618
CG iteration 11 err=0.0962041243910789
CG iteration 12 err=0.0982301905751228
CG iteration 13 err=0.0840006172657013
CG iteration 14 err=0.0429337024688721
CG iteration 15 err=0.0454469881951809
CG iteration 16 err=0.1720150411129
CG iteration 17 err=0.0371885858476162
CG iteration 18 err=0.0305917840451002
CG iteration 19 err=0.0417730323970318
CG iteration 20 err=0.0229282099753618
L2 solution PSNR_ROI=22.8963039746278
init v=640.228393554688 u=1163.66516113281 u0=215210.703125
solution space=(alpha>=1 OR 0.066697<beta<=184.942121)
Iteration 1 PSNR_ROI=23.22854973 dB, data_fidel=1130.676758, data_consist=38.534023, sparsity=261092.315186, overall=38.534023 < 58.183258
Iteration 2 PSNR_ROI=23.33051292 dB, data_fidel=1130.676514, data_consist=35.339569, sparsity=261583.783325, overall=35.339569 < 58.183258
Iteration 3 PSNR_ROI=23.45887232 dB, data_fidel=1130.676758, data_consist=34.929615, sparsity=262046.883667, overall=34.929615 < 58.183258
Iteration 4 PSNR_ROI=23.58358174 dB, data_fidel=1130.676636, data_consist=34.803776, sparsity=262500.876953, overall=34.803776 < 58.183258
Iteration 5 PSNR_ROI=23.69658292 dB, data_fidel=1130.676514, data_consist=34.761730, sparsity=262953.682373, overall=34.761730 < 58.183258
Iteration 6 PSNR_ROI=23.80141354 dB, data_fidel=1130.676758, data_consist=34.751556, sparsity=263407.282471, overall=34.751556 < 58.183258
Iteration 7 PSNR_ROI=23.90000189 dB, data_fidel=1130.676636, data_consist=34.755428, sparsity=263862.122681, overall=34.755428 < 58.183258
Iteration 8 PSNR_ROI=23.99415553 dB, data_fidel=1130.676758, data_consist=34.765347, sparsity=264318.159668, overall=34.765347 < 58.183258
Iteration 9 PSNR_ROI=24.08439869 dB, data_fidel=1130.676758, data_consist=34.777504, sparsity=264773.583862, overall=34.777504 < 58.183258
Iteration 10 PSNR_ROI=24.17025956 dB, data_fidel=1130.676636, data_consist=34.792206, sparsity=265228.902710, overall=34.792206 < 58.183258
Iteration 11 PSNR_ROI=24.25550890 dB, data_fidel=1130.676758, data_consist=34.804790, sparsity=265682.388428, overall=34.804790 < 58.183258
Iteration 12 PSNR_ROI=24.33729251 dB, data_fidel=1130.676636, data_consist=34.816250, sparsity=266132.911377, overall=34.816250 < 58.183258
Iteration 13 PSNR_ROI=24.42171830 dB, data_fidel=1130.676514, data_consist=34.766399, sparsity=266581.595581, overall=34.766399 < 58.183258
Iteration 14 PSNR_ROI=24.48890004 dB, data_fidel=1130.676514, data_consist=34.827766, sparsity=267020.970947, overall=34.827766 < 58.183258
Iteration 15 PSNR_ROI=24.56166592 dB, data_fidel=1130.676636, data_consist=34.838814, sparsity=267456.506226, overall=34.838814 < 58.183258
Iteration 16 PSNR_ROI=24.63199498 dB, data_fidel=1130.676636, data_consist=34.846127, sparsity=267885.424683, overall=34.846127 < 58.183258
Iteration 17 PSNR_ROI=24.69807859 dB, data_fidel=1130.676636, data_consist=34.853855, sparsity=268306.400879, overall=34.853855 < 58.183258
Iteration 18 PSNR_ROI=24.75920655 dB, data_fidel=1130.676636, data_consist=34.857140, sparsity=268715.252075, overall=34.857140 < 58.183258
Iteration 19 PSNR_ROI=24.82359730 dB, data_fidel=1130.676758, data_consist=34.874538, sparsity=269114.659790, overall=34.874538 < 58.183258
Iteration 20 PSNR_ROI=24.87511580 dB, data_fidel=1130.676636, data_consist=34.892532, sparsity=269499.568237, overall=34.892532 < 58.183258
Iteration 21 PSNR_ROI=24.92111046 dB, data_fidel=1130.676636, data_consist=34.918537, sparsity=269867.906982, overall=34.918537 < 58.183258
Iteration 22 PSNR_ROI=24.96141574 dB, data_fidel=1130.676514, data_consist=34.952507, sparsity=270220.958984, overall=34.952507 < 58.183258
Iteration 23 PSNR_ROI=24.99813943 dB, data_fidel=1130.676636, data_consist=34.984005, sparsity=270549.680542, overall=34.984005 < 58.183258
Iteration 24 PSNR_ROI=25.01993517 dB, data_fidel=1130.676514, data_consist=35.047520, sparsity=270851.383057, overall=35.047520 < 58.183258
Iteration 25 PSNR_ROI=25.04289910 dB, data_fidel=1130.676758, data_consist=35.083179, sparsity=271139.373657, overall=35.083179 < 58.183258
Iteration 26 PSNR_ROI=25.05293249 dB, data_fidel=1130.676636, data_consist=35.173485, sparsity=271383.334717, overall=35.173485 < 58.183258
Stopping condition (overall_err < 58.183258) reached
Processing SIRA-FIDEL: 21145.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=24 PSNR=25.052932 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_24.png
Processing SIRA-FIDEL roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1845703125
iteration 3 err=1209.96203613281
iteration 4 err=269.338043212891
iteration 5 err=98.2791366577148
iteration 6 err=22.0614547729492
iteration 7 err=9.80609703063965
iteration 8 err=8.08252239227295
iteration 9 err=10.2533016204834
iteration 10 err=3.76847672462463
iteration 11 err=2.3187255859375
iteration 12 err=1.24721932411194
iteration 13 err=0.792604506015778
iteration 14 err=0.466717630624771
iteration 15 err=0.42779004573822
iteration 16 err=1.09581089019775
iteration 17 err=0.352442145347595
iteration 18 err=0.503424465656281
iteration 19 err=0.239452868700027
iteration 20 err=0.213745787739754
CG iteration 1 err=25932.34375
CG iteration 2 err=244.265197753906
CG iteration 3 err=17.1382675170898
CG iteration 4 err=4.54493999481201
CG iteration 5 err=2.03137016296387
CG iteration 6 err=0.651544213294983
CG iteration 7 err=0.284916907548904
CG iteration 8 err=0.246091485023499
CG iteration 9 err=0.723374903202057
CG iteration 10 err=0.137349247932434
CG iteration 11 err=0.126381561160088
CG iteration 12 err=0.111746661365032
CG iteration 13 err=0.0803639963269234
CG iteration 14 err=0.0570492446422577
CG iteration 15 err=0.0820725634694099
CG iteration 16 err=0.15080189704895
CG iteration 17 err=0.0437147654592991
CG iteration 18 err=0.0393110290169716
CG iteration 19 err=0.0548334866762161
CG iteration 20 err=0.0404171198606491
L2 solution PSNR_ROI=23.8986997246778
init v=664.634033203125 u=1202.68933105469 u0=201625.6875
solution space=(alpha>=1 OR 0.065851<beta<=167.645694)
Iteration 1 PSNR_ROI=24.24517805 dB, data_fidel=1159.744263, data_consist=50.359638, sparsity=266749.439819, overall=50.359638 < 60.134467
Iteration 2 PSNR_ROI=24.45309300 dB, data_fidel=1159.744141, data_consist=46.187458, sparsity=267249.285400, overall=46.187458 < 60.134467
Iteration 3 PSNR_ROI=24.59108476 dB, data_fidel=1159.744141, data_consist=45.596397, sparsity=267722.099487, overall=45.596397 < 60.134467
Iteration 4 PSNR_ROI=24.72420405 dB, data_fidel=1159.744141, data_consist=45.421700, sparsity=268189.440430, overall=45.421700 < 60.134467
Iteration 5 PSNR_ROI=24.85087549 dB, data_fidel=1159.744141, data_consist=45.357975, sparsity=268656.430908, overall=45.357975 < 60.134467
Iteration 6 PSNR_ROI=24.96990295 dB, data_fidel=1159.744019, data_consist=45.338100, sparsity=269124.700928, overall=45.338100 < 60.134467
Iteration 7 PSNR_ROI=25.08290143 dB, data_fidel=1159.744019, data_consist=45.337807, sparsity=269595.943726, overall=45.337807 < 60.134467
Iteration 8 PSNR_ROI=25.18979069 dB, data_fidel=1159.744019, data_consist=45.347473, sparsity=270066.886719, overall=45.347473 < 60.134467
Iteration 9 PSNR_ROI=25.29409021 dB, data_fidel=1159.744141, data_consist=45.359013, sparsity=270541.804443, overall=45.359013 < 60.134467
Iteration 10 PSNR_ROI=25.39261008 dB, data_fidel=1159.744141, data_consist=45.375820, sparsity=271015.951904, overall=45.375820 < 60.134467
Iteration 11 PSNR_ROI=25.48860673 dB, data_fidel=1159.744385, data_consist=45.390610, sparsity=271488.547363, overall=45.390610 < 60.134467
Iteration 12 PSNR_ROI=25.58185312 dB, data_fidel=1159.744141, data_consist=45.401733, sparsity=271958.340820, overall=45.401733 < 60.134467
Iteration 13 PSNR_ROI=25.67065055 dB, data_fidel=1159.744385, data_consist=45.414303, sparsity=272425.132446, overall=45.414303 < 60.134467
Iteration 14 PSNR_ROI=25.75822711 dB, data_fidel=1159.744141, data_consist=45.421680, sparsity=272885.521851, overall=45.421680 < 60.134467
Iteration 15 PSNR_ROI=25.84130995 dB, data_fidel=1159.744141, data_consist=45.428909, sparsity=273339.464722, overall=45.428909 < 60.134467
Iteration 16 PSNR_ROI=25.92270850 dB, data_fidel=1159.744141, data_consist=45.432087, sparsity=273786.738525, overall=45.432087 < 60.134467
Iteration 17 PSNR_ROI=25.99922863 dB, data_fidel=1159.744019, data_consist=45.437679, sparsity=274225.286743, overall=45.437679 < 60.134467
Iteration 18 PSNR_ROI=26.07193674 dB, data_fidel=1159.744141, data_consist=45.444828, sparsity=274653.544678, overall=45.444828 < 60.134467
Iteration 19 PSNR_ROI=26.14247745 dB, data_fidel=1159.744019, data_consist=45.451397, sparsity=275070.307617, overall=45.451397 < 60.134467
Iteration 20 PSNR_ROI=26.20579572 dB, data_fidel=1159.744263, data_consist=45.468353, sparsity=275473.177856, overall=45.468353 < 60.134467
Iteration 21 PSNR_ROI=26.26434594 dB, data_fidel=1159.744141, data_consist=45.494244, sparsity=275857.731689, overall=45.494244 < 60.134467
Iteration 22 PSNR_ROI=26.31869728 dB, data_fidel=1159.744141, data_consist=45.526253, sparsity=276223.527222, overall=45.526253 < 60.134467
Iteration 23 PSNR_ROI=26.36506924 dB, data_fidel=1159.744141, data_consist=45.571430, sparsity=276565.771362, overall=45.571430 < 60.134467
Iteration 24 PSNR_ROI=26.40267133 dB, data_fidel=1159.744019, data_consist=45.623634, sparsity=276876.707153, overall=45.623634 < 60.134467
Iteration 25 PSNR_ROI=26.43744567 dB, data_fidel=1159.744263, data_consist=45.689312, sparsity=277163.105713, overall=45.689312 < 60.134467
Iteration 26 PSNR_ROI=26.45967101 dB, data_fidel=1159.744141, data_consist=45.763554, sparsity=277418.928223, overall=45.763554 < 60.134467
Stopping condition (overall_err < 60.134467) reached
Processing SIRA-FIDEL: 21490.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=32 PSNR=26.459671 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_32.png
Processing SIRA-FIDEL roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18359375
iteration 3 err=1209.96228027344
iteration 4 err=269.338226318359
iteration 5 err=98.2792129516602
iteration 6 err=22.061674118042
iteration 7 err=9.82054615020752
iteration 8 err=8.82060623168945
iteration 9 err=10.0117855072021
iteration 10 err=3.65822005271912
iteration 11 err=2.31793427467346
iteration 12 err=1.24721610546112
iteration 13 err=0.792607426643372
iteration 14 err=0.466879695653915
iteration 15 err=0.471583396196365
iteration 16 err=0.911577105522156
iteration 17 err=0.330462843179703
iteration 18 err=0.485391736030579
iteration 19 err=0.252009928226471
iteration 20 err=0.214659690856934
CG iteration 1 err=49401.1796875
CG iteration 2 err=472.914703369141
CG iteration 3 err=33.6956214904785
CG iteration 4 err=8.94026470184326
CG iteration 5 err=2.86300230026245
CG iteration 6 err=1.19848227500916
CG iteration 7 err=0.516425609588623
CG iteration 8 err=0.50969523191452
CG iteration 9 err=0.656505942344666
CG iteration 10 err=0.183914437890053
CG iteration 11 err=0.169745653867722
CG iteration 12 err=0.156261131167412
CG iteration 13 err=0.121204815804958
CG iteration 14 err=0.100165084004402
CG iteration 15 err=0.149768799543381
CG iteration 16 err=0.117422111332417
CG iteration 17 err=0.0631165653467178
CG iteration 18 err=0.0613135248422623
CG iteration 19 err=0.0439174063503742
CG iteration 20 err=0.0401147753000259
L2 solution PSNR_ROI=26.1090589132478
init v=859.709228515625 u=1157.71203613281 u0=181693.0625
solution space=(alpha>=1 OR 0.019116<beta<=156.941499)
Iteration 1 PSNR_ROI=26.49256575 dB, data_fidel=1097.517212, data_consist=71.583176, sparsity=279128.540649, overall=71.583176 < 57.885602
Iteration 2 PSNR_ROI=26.66607672 dB, data_fidel=1097.516968, data_consist=65.704674, sparsity=279708.215942, overall=65.704674 < 57.885602
Iteration 3 PSNR_ROI=26.74970821 dB, data_fidel=1097.517090, data_consist=65.020081, sparsity=280254.732422, overall=65.020081 < 57.885602
Iteration 4 PSNR_ROI=26.84092161 dB, data_fidel=1097.516968, data_consist=64.833557, sparsity=280792.295776, overall=64.833557 < 57.885602
Iteration 5 PSNR_ROI=26.93840242 dB, data_fidel=1097.517090, data_consist=64.692848, sparsity=281335.405640, overall=64.692848 < 57.885602
Iteration 6 PSNR_ROI=27.01915811 dB, data_fidel=1097.516968, data_consist=64.723076, sparsity=281872.857910, overall=64.723076 < 57.885602
Iteration 7 PSNR_ROI=27.11042237 dB, data_fidel=1097.517212, data_consist=64.713425, sparsity=282418.646240, overall=64.713425 < 57.885602
Iteration 8 PSNR_ROI=27.19396280 dB, data_fidel=1097.517090, data_consist=64.710777, sparsity=282965.114624, overall=64.710777 < 57.885602
Iteration 9 PSNR_ROI=27.27211482 dB, data_fidel=1097.516846, data_consist=64.698029, sparsity=283505.971802, overall=64.698029 < 57.885602
Iteration 10 PSNR_ROI=27.35558808 dB, data_fidel=1097.517090, data_consist=64.706314, sparsity=284052.192017, overall=64.706314 < 57.885602
Iteration 11 PSNR_ROI=27.42583468 dB, data_fidel=1097.516968, data_consist=64.530960, sparsity=284565.571167, overall=64.530960 < 57.885602
Iteration 12 PSNR_ROI=27.51841263 dB, data_fidel=1097.517090, data_consist=64.683525, sparsity=285110.478271, overall=64.683525 < 57.885602
Iteration 13 PSNR_ROI=27.59913851 dB, data_fidel=1097.516968, data_consist=64.683395, sparsity=285660.199463, overall=64.683395 < 57.885602
Iteration 14 PSNR_ROI=27.67249384 dB, data_fidel=1097.517090, data_consist=64.680573, sparsity=286204.098267, overall=64.680573 < 57.885602
Iteration 15 PSNR_ROI=27.74551139 dB, data_fidel=1097.516968, data_consist=64.665642, sparsity=286743.483643, overall=64.665642 < 57.885602
Iteration 16 PSNR_ROI=27.81443426 dB, data_fidel=1097.517090, data_consist=64.645584, sparsity=287269.035400, overall=64.645584 < 57.885602
Iteration 17 PSNR_ROI=27.88328147 dB, data_fidel=1097.517090, data_consist=64.621239, sparsity=287788.314697, overall=64.621239 < 57.885602
Iteration 18 PSNR_ROI=27.95423697 dB, data_fidel=1097.517212, data_consist=64.598343, sparsity=288305.676392, overall=64.598343 < 57.885602
Iteration 19 PSNR_ROI=28.01734777 dB, data_fidel=1097.516968, data_consist=64.578369, sparsity=288814.140259, overall=64.578369 < 57.885602
Iteration 20 PSNR_ROI=28.07751089 dB, data_fidel=1097.516968, data_consist=64.571915, sparsity=289305.588257, overall=64.571915 < 57.885602
Iteration 21 PSNR_ROI=28.13818856 dB, data_fidel=1097.517090, data_consist=64.528618, sparsity=289782.111938, overall=64.528618 < 57.885602
Iteration 22 PSNR_ROI=28.19068730 dB, data_fidel=1097.516968, data_consist=64.546181, sparsity=290238.573364, overall=64.546181 < 57.885602
Iteration 23 PSNR_ROI=28.21372791 dB, data_fidel=1097.517090, data_consist=64.380074, sparsity=290615.199097, overall=64.380074 < 57.885602
Iteration 24 PSNR_ROI=28.29412456 dB, data_fidel=1097.517090, data_consist=64.604683, sparsity=291017.436035, overall=64.604683 < 57.885602
Iteration 25 PSNR_ROI=28.33084010 dB, data_fidel=1097.516968, data_consist=64.669716, sparsity=291383.865723, overall=64.669716 < 57.885602
Iteration 26 PSNR_ROI=28.36435723 dB, data_fidel=1097.516846, data_consist=64.730278, sparsity=291715.888916, overall=64.730278 < 57.885602
Stopping condition (overall_err < 57.885602) reached
Processing SIRA-FIDEL: 21155.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=48 PSNR=28.364356 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_48.png
Processing SIRA-FIDEL roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18310546875
iteration 3 err=1209.96203613281
iteration 4 err=269.338043212891
iteration 5 err=98.2790985107422
iteration 6 err=22.0616493225098
iteration 7 err=9.82061195373535
iteration 8 err=8.82448577880859
iteration 9 err=10.009373664856
iteration 10 err=3.65785074234009
iteration 11 err=2.31792163848877
iteration 12 err=1.24720871448517
iteration 13 err=0.792602121829987
iteration 14 err=0.467116564512253
iteration 15 err=0.52751886844635
iteration 16 err=0.763951182365417
iteration 17 err=0.317252308130264
iteration 18 err=0.43355917930603
iteration 19 err=0.273747682571411
iteration 20 err=0.216540217399597
CG iteration 1 err=77359.6953125
CG iteration 2 err=767.395141601563
CG iteration 3 err=49.058406829834
CG iteration 4 err=8.5601806640625
CG iteration 5 err=3.76434302330017
CG iteration 6 err=1.36091423034668
CG iteration 7 err=0.622154831886292
CG iteration 8 err=0.6181600689888
CG iteration 9 err=1.00506019592285
CG iteration 10 err=0.326975524425507
CG iteration 11 err=0.239696130156517
CG iteration 12 err=0.208108440041542
CG iteration 13 err=0.153819888830185
CG iteration 14 err=0.141975969076157
CG iteration 15 err=0.126913711428642
CG iteration 16 err=0.145090743899345
CG iteration 17 err=0.181524306535721
CG iteration 18 err=0.0640225261449814
CG iteration 19 err=0.0676210671663284
CG iteration 20 err=0.0541677474975586
L2 solution PSNR_ROI=29.4817267048814
init v=1125.10034179688 u=1188.82495117188 u0=175059.3125
solution space=(alpha>=1 OR 0.000738<beta<=147.254070)
Iteration 1 PSNR_ROI=30.11548604 dB, data_fidel=1109.889893, data_consist=93.031197, sparsity=297479.132324, overall=93.031197 < 59.441248
Iteration 2 PSNR_ROI=30.30432099 dB, data_fidel=1109.889648, data_consist=85.408180, sparsity=298041.908447, overall=85.408180 < 59.441248
Iteration 3 PSNR_ROI=30.41951685 dB, data_fidel=1109.889893, data_consist=84.310059, sparsity=298579.752197, overall=84.310059 < 59.441248
Iteration 4 PSNR_ROI=30.54421479 dB, data_fidel=1109.889648, data_consist=84.026802, sparsity=299120.803711, overall=84.026802 < 59.441248
Iteration 5 PSNR_ROI=30.67174279 dB, data_fidel=1109.889893, data_consist=83.955551, sparsity=299662.043945, overall=83.955551 < 59.441248
Iteration 6 PSNR_ROI=30.79807387 dB, data_fidel=1109.889771, data_consist=83.935898, sparsity=300211.097656, overall=83.935898 < 59.441248
Iteration 7 PSNR_ROI=30.92312440 dB, data_fidel=1109.889771, data_consist=83.939644, sparsity=300767.090576, overall=83.939644 < 59.441248
Iteration 8 PSNR_ROI=31.04715447 dB, data_fidel=1109.889771, data_consist=83.950134, sparsity=301327.704102, overall=83.950134 < 59.441248
Iteration 9 PSNR_ROI=31.16981962 dB, data_fidel=1109.889893, data_consist=83.963867, sparsity=301890.126465, overall=83.963867 < 59.441248
Iteration 10 PSNR_ROI=31.29413222 dB, data_fidel=1109.889648, data_consist=83.895546, sparsity=302467.592773, overall=83.895546 < 59.441248
Iteration 11 PSNR_ROI=31.41466519 dB, data_fidel=1109.889771, data_consist=83.978767, sparsity=303029.634521, overall=83.978767 < 59.441248
Iteration 12 PSNR_ROI=31.53399758 dB, data_fidel=1109.889771, data_consist=83.973007, sparsity=303593.231934, overall=83.973007 < 59.441248
Iteration 13 PSNR_ROI=31.65043484 dB, data_fidel=1109.889893, data_consist=83.974510, sparsity=304150.885254, overall=83.974510 < 59.441248
Iteration 14 PSNR_ROI=31.76398323 dB, data_fidel=1109.889893, data_consist=83.966301, sparsity=304702.399902, overall=83.966301 < 59.441248
Iteration 15 PSNR_ROI=31.87408374 dB, data_fidel=1109.889771, data_consist=83.960999, sparsity=305243.347900, overall=83.960999 < 59.441248
Iteration 16 PSNR_ROI=31.98086315 dB, data_fidel=1109.889771, data_consist=83.945396, sparsity=305774.755127, overall=83.945396 < 59.441248
Iteration 17 PSNR_ROI=32.08359589 dB, data_fidel=1109.889771, data_consist=83.930588, sparsity=306293.317139, overall=83.930588 < 59.441248
Iteration 18 PSNR_ROI=32.18190753 dB, data_fidel=1109.889893, data_consist=83.916672, sparsity=306801.966553, overall=83.916672 < 59.441248
Iteration 19 PSNR_ROI=32.27744681 dB, data_fidel=1109.889893, data_consist=83.903381, sparsity=307290.807373, overall=83.903381 < 59.441248
Iteration 20 PSNR_ROI=32.36701320 dB, data_fidel=1109.889771, data_consist=83.890556, sparsity=307761.376221, overall=83.890556 < 59.441248
Iteration 21 PSNR_ROI=32.45093678 dB, data_fidel=1109.889771, data_consist=83.910561, sparsity=308203.715332, overall=83.910561 < 59.441248
Iteration 22 PSNR_ROI=32.53077238 dB, data_fidel=1109.889771, data_consist=83.875381, sparsity=308627.895264, overall=83.875381 < 59.441248
Iteration 23 PSNR_ROI=32.60385944 dB, data_fidel=1109.889771, data_consist=83.969833, sparsity=309011.858154, overall=83.969833 < 59.441248
Iteration 24 PSNR_ROI=32.66740026 dB, data_fidel=1109.889893, data_consist=84.023094, sparsity=309357.315674, overall=84.023094 < 59.441248
Iteration 25 PSNR_ROI=32.72271034 dB, data_fidel=1109.889893, data_consist=84.067848, sparsity=309667.871338, overall=84.067848 < 59.441248
Iteration 26 PSNR_ROI=32.77128185 dB, data_fidel=1109.889648, data_consist=83.820702, sparsity=309981.971924, overall=83.820702 < 59.441248
Stopping condition (overall_err < 59.441248) reached
Processing SIRA-FIDEL: 21430.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=64 PSNR=32.771282 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_64.png
Processing SIRA-FIDEL roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18310546875
iteration 3 err=1209.96118164063
iteration 4 err=269.338043212891
iteration 5 err=98.279182434082
iteration 6 err=22.0614738464355
iteration 7 err=9.80617427825928
iteration 8 err=8.08644199371338
iteration 9 err=10.2541236877441
iteration 10 err=3.76751971244812
iteration 11 err=2.31871747970581
iteration 12 err=1.24721896648407
iteration 13 err=0.792617857456207
iteration 14 err=0.467068016529083
iteration 15 err=0.415157407522202
iteration 16 err=1.07855725288391
iteration 17 err=0.505560576915741
iteration 18 err=0.407162666320801
iteration 19 err=0.224265664815903
iteration 20 err=0.212766692042351
CG iteration 1 err=109028.90625
CG iteration 2 err=1107.66564941406
CG iteration 3 err=72.537467956543
CG iteration 4 err=14.5661239624023
CG iteration 5 err=4.66849756240845
CG iteration 6 err=1.59648215770721
CG iteration 7 err=0.946911871433258
CG iteration 8 err=1.96650803089142
CG iteration 9 err=0.561362147331238
CG iteration 10 err=0.430176943540573
CG iteration 11 err=0.332740545272827
CG iteration 12 err=0.234325498342514
CG iteration 13 err=0.186031505465508
CG iteration 14 err=0.142261609435081
CG iteration 15 err=0.623700559139252
CG iteration 16 err=0.11412101238966
CG iteration 17 err=0.0930927246809006
CG iteration 18 err=0.135331630706787
CG iteration 19 err=0.0753141269087791
CG iteration 20 err=0.0629252046346664
L2 solution PSNR_ROI=32.4430798954613
init v=1312.54089355469 u=1172.10046386719 u0=161279.265625
solution space=(alpha>=1 OR 0.003389<beta<=137.598500)
Iteration 1 PSNR_ROI=33.39553478 dB, data_fidel=1077.498901, data_consist=109.831932, sparsity=311226.454102, overall=109.831932 < 58.605023
Iteration 2 PSNR_ROI=33.63701646 dB, data_fidel=1077.498901, data_consist=102.669678, sparsity=311786.217773, overall=102.669678 < 58.605023
Iteration 3 PSNR_ROI=33.73742063 dB, data_fidel=1077.498779, data_consist=101.748886, sparsity=312317.865234, overall=101.748886 < 58.605023
Iteration 4 PSNR_ROI=33.83812087 dB, data_fidel=1077.498657, data_consist=101.468048, sparsity=312843.355713, overall=101.468048 < 58.605023
Iteration 5 PSNR_ROI=33.93895895 dB, data_fidel=1077.498901, data_consist=101.372993, sparsity=313385.669434, overall=101.372993 < 58.605023
Iteration 6 PSNR_ROI=34.04597156 dB, data_fidel=1077.498535, data_consist=101.394737, sparsity=313927.975830, overall=101.394737 < 58.605023
Iteration 7 PSNR_ROI=34.14826497 dB, data_fidel=1077.498779, data_consist=101.428627, sparsity=314476.251709, overall=101.428627 < 58.605023
Iteration 8 PSNR_ROI=34.24956383 dB, data_fidel=1077.498657, data_consist=101.455116, sparsity=315035.956787, overall=101.455116 < 58.605023
Iteration 9 PSNR_ROI=34.35346735 dB, data_fidel=1077.498779, data_consist=101.486359, sparsity=315601.313721, overall=101.486359 < 58.605023
Iteration 10 PSNR_ROI=34.45651723 dB, data_fidel=1077.498901, data_consist=101.530945, sparsity=316165.927002, overall=101.530945 < 58.605023
Iteration 11 PSNR_ROI=34.55582601 dB, data_fidel=1077.498779, data_consist=101.540138, sparsity=316731.767334, overall=101.540138 < 58.605023
Iteration 12 PSNR_ROI=34.65235524 dB, data_fidel=1077.498901, data_consist=101.574890, sparsity=317291.644287, overall=101.574890 < 58.605023
Iteration 13 PSNR_ROI=34.74253392 dB, data_fidel=1077.498779, data_consist=101.567574, sparsity=317856.420166, overall=101.567574 < 58.605023
Iteration 14 PSNR_ROI=34.83757080 dB, data_fidel=1077.498657, data_consist=101.358742, sparsity=318436.598633, overall=101.358742 < 58.605023
Iteration 15 PSNR_ROI=34.95062339 dB, data_fidel=1077.498901, data_consist=101.554939, sparsity=318989.561279, overall=101.554939 < 58.605023
Iteration 16 PSNR_ROI=35.03723140 dB, data_fidel=1077.498779, data_consist=101.557770, sparsity=319528.859375, overall=101.557770 < 58.605023
Iteration 17 PSNR_ROI=35.11352029 dB, data_fidel=1077.498779, data_consist=101.551170, sparsity=320060.081543, overall=101.551170 < 58.605023
Iteration 18 PSNR_ROI=35.18569886 dB, data_fidel=1077.498779, data_consist=101.529526, sparsity=320581.421143, overall=101.529526 < 58.605023
Iteration 19 PSNR_ROI=35.25507654 dB, data_fidel=1077.498779, data_consist=101.530251, sparsity=321085.006836, overall=101.530251 < 58.605023
Iteration 20 PSNR_ROI=35.31566774 dB, data_fidel=1077.498657, data_consist=101.521736, sparsity=321570.353760, overall=101.521736 < 58.605023
Iteration 21 PSNR_ROI=35.37018220 dB, data_fidel=1077.498779, data_consist=101.502579, sparsity=322038.839355, overall=101.502579 < 58.605023
Iteration 22 PSNR_ROI=35.42327591 dB, data_fidel=1077.498779, data_consist=101.512924, sparsity=322482.232666, overall=101.512924 < 58.605023
Iteration 23 PSNR_ROI=35.46878013 dB, data_fidel=1077.498779, data_consist=101.537079, sparsity=322896.588867, overall=101.537079 < 58.605023
Iteration 24 PSNR_ROI=35.50520566 dB, data_fidel=1077.498779, data_consist=101.546448, sparsity=323284.897217, overall=101.546448 < 58.605023
Iteration 25 PSNR_ROI=35.54098470 dB, data_fidel=1077.498779, data_consist=101.598625, sparsity=323637.195801, overall=101.598625 < 58.605023
Iteration 26 PSNR_ROI=35.55710474 dB, data_fidel=1077.498779, data_consist=101.386177, sparsity=323910.456543, overall=101.386177 < 58.605023
Stopping condition (overall_err < 58.605023) reached
Processing SIRA-FIDEL: 21050.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=80 PSNR=35.557105 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_80.png
Processing SIRA-FIDEL roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1865234375
iteration 3 err=1209.96240234375
iteration 4 err=269.338226318359
iteration 5 err=98.2791748046875
iteration 6 err=22.0612087249756
iteration 7 err=9.78814792633057
iteration 8 err=7.10852336883545
iteration 9 err=6.34600210189819
iteration 10 err=5.24710083007813
iteration 11 err=2.3313901424408
iteration 12 err=1.24732887744904
iteration 13 err=0.792602360248566
iteration 14 err=0.466373026371002
iteration 15 err=0.365401983261108
iteration 16 err=0.412723958492279
iteration 17 err=0.761343717575073
iteration 18 err=0.477469652891159
iteration 19 err=0.268041282892227
iteration 20 err=0.215901404619217
CG iteration 1 err=142292.203125
CG iteration 2 err=1470.71655273438
CG iteration 3 err=110.155654907227
CG iteration 4 err=25.5542793273926
CG iteration 5 err=6.65626621246338
CG iteration 6 err=2.11019158363342
CG iteration 7 err=1.2159104347229
CG iteration 8 err=0.908941090106964
CG iteration 9 err=1.92555916309357
CG iteration 10 err=0.457311719655991
CG iteration 11 err=0.364633321762085
CG iteration 12 err=0.279400527477264
CG iteration 13 err=0.264719933271408
CG iteration 14 err=0.196981310844421
CG iteration 15 err=0.16695174574852
CG iteration 16 err=0.257002145051956
CG iteration 17 err=0.187581911683083
CG iteration 18 err=0.0981622412800789
CG iteration 19 err=0.0784196779131889
CG iteration 20 err=0.0660863369703293
L2 solution PSNR_ROI=33.460229444444
init v=1469.04699707031 u=1048.89489746094 u0=140945.9375
solution space=(alpha>=1 OR 0.033656<beta<=134.375654)
Iteration 1 PSNR_ROI=34.29936263 dB, data_fidel=937.449036, data_consist=129.789185, sparsity=319813.190918, overall=129.789185 < 52.444745
Iteration 2 PSNR_ROI=34.69151675 dB, data_fidel=937.449158, data_consist=120.270302, sparsity=320367.183594, overall=120.270302 < 52.444745
Iteration 3 PSNR_ROI=34.75349841 dB, data_fidel=937.449097, data_consist=119.306709, sparsity=320894.034424, overall=119.306709 < 52.444745
Iteration 4 PSNR_ROI=34.81662737 dB, data_fidel=937.449097, data_consist=119.011566, sparsity=321422.313232, overall=119.011566 < 52.444745
Iteration 5 PSNR_ROI=34.88461320 dB, data_fidel=937.449219, data_consist=118.948669, sparsity=321960.545410, overall=118.948669 < 52.444745
Iteration 6 PSNR_ROI=34.95534720 dB, data_fidel=937.449158, data_consist=118.979446, sparsity=322504.758301, overall=118.979446 < 52.444745
Iteration 7 PSNR_ROI=35.02273286 dB, data_fidel=937.449158, data_consist=119.051010, sparsity=323060.721924, overall=119.051010 < 52.444745
Iteration 8 PSNR_ROI=35.09147343 dB, data_fidel=937.448975, data_consist=119.137428, sparsity=323623.086182, overall=119.137428 < 52.444745
Iteration 9 PSNR_ROI=35.14558278 dB, data_fidel=937.449097, data_consist=118.316902, sparsity=324162.528809, overall=118.316902 < 52.444745
Iteration 10 PSNR_ROI=35.22540758 dB, data_fidel=937.449036, data_consist=119.223061, sparsity=324737.564941, overall=119.223061 < 52.444745
Iteration 11 PSNR_ROI=35.28802561 dB, data_fidel=937.449219, data_consist=119.304260, sparsity=325311.227539, overall=119.304260 < 52.444745
Iteration 12 PSNR_ROI=35.34130685 dB, data_fidel=937.448975, data_consist=119.356644, sparsity=325885.762207, overall=119.356644 < 52.444745
Iteration 13 PSNR_ROI=35.39183307 dB, data_fidel=937.449036, data_consist=119.393188, sparsity=326458.212891, overall=119.393188 < 52.444745
Iteration 14 PSNR_ROI=35.44005621 dB, data_fidel=937.449097, data_consist=119.426834, sparsity=327023.503174, overall=119.426834 < 52.444745
Iteration 15 PSNR_ROI=35.47928521 dB, data_fidel=937.449097, data_consist=119.436829, sparsity=327581.877441, overall=119.436829 < 52.444745
Iteration 16 PSNR_ROI=35.51288326 dB, data_fidel=937.449097, data_consist=119.429337, sparsity=328134.523926, overall=119.429337 < 52.444745
Iteration 17 PSNR_ROI=35.54628177 dB, data_fidel=937.449036, data_consist=119.424286, sparsity=328674.356934, overall=119.424286 < 52.444745
Iteration 18 PSNR_ROI=35.57050090 dB, data_fidel=937.449097, data_consist=119.394859, sparsity=329206.112061, overall=119.394859 < 52.444745
Iteration 19 PSNR_ROI=35.59797136 dB, data_fidel=937.449158, data_consist=119.387955, sparsity=329719.548096, overall=119.387955 < 52.444745
Iteration 20 PSNR_ROI=35.61408904 dB, data_fidel=937.449036, data_consist=119.367767, sparsity=330216.585449, overall=119.367767 < 52.444745
Iteration 21 PSNR_ROI=35.62646698 dB, data_fidel=937.449036, data_consist=119.342575, sparsity=330693.770508, overall=119.342575 < 52.444745
Iteration 22 PSNR_ROI=35.63825764 dB, data_fidel=937.449097, data_consist=119.333359, sparsity=331147.225830, overall=119.333359 < 52.444745
Iteration 23 PSNR_ROI=35.64522580 dB, data_fidel=937.449036, data_consist=119.314270, sparsity=331577.444336, overall=119.314270 < 52.444745
Iteration 24 PSNR_ROI=35.65875006 dB, data_fidel=937.449158, data_consist=119.343391, sparsity=331972.452393, overall=119.343391 < 52.444745
Iteration 25 PSNR_ROI=35.66339386 dB, data_fidel=937.449097, data_consist=119.383842, sparsity=332328.674561, overall=119.383842 < 52.444745
Iteration 26 PSNR_ROI=35.65586533 dB, data_fidel=937.449097, data_consist=119.416481, sparsity=332653.534180, overall=119.416481 < 52.444745
Stopping condition (overall_err < 52.444745) reached
Processing SIRA-FIDEL: 21080.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=96 PSNR=35.655865 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_96.png
Processing SIRA-FIDEL roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18359375
iteration 3 err=1209.96130371094
iteration 4 err=269.337890625
iteration 5 err=98.2790298461914
iteration 6 err=22.0614147186279
iteration 7 err=9.80594253540039
iteration 8 err=8.07588195800781
iteration 9 err=10.2517795562744
iteration 10 err=3.77008318901062
iteration 11 err=2.31872630119324
iteration 12 err=1.24721348285675
iteration 13 err=0.792608201503754
iteration 14 err=0.466938585042953
iteration 15 err=0.427377939224243
iteration 16 err=1.08917534351349
iteration 17 err=0.435001134872437
iteration 18 err=0.442481279373169
iteration 19 err=0.226513862609863
iteration 20 err=0.212905868887901
CG iteration 1 err=205011.921875
CG iteration 2 err=2559.46923828125
CG iteration 3 err=244.944686889648
CG iteration 4 err=48.2488861083984
CG iteration 5 err=13.0770130157471
CG iteration 6 err=4.17397022247314
CG iteration 7 err=3.54406261444092
CG iteration 8 err=1.63836526870728
CG iteration 9 err=3.92128252983093
CG iteration 10 err=0.881932497024536
CG iteration 11 err=0.620584189891815
CG iteration 12 err=0.405156821012497
CG iteration 13 err=0.359480023384094
CG iteration 14 err=0.280228763818741
CG iteration 15 err=0.248618617653847
CG iteration 16 err=0.575495541095734
CG iteration 17 err=0.232729122042656
CG iteration 18 err=0.172941297292709
CG iteration 19 err=0.22050978243351
CG iteration 20 err=0.14460976421833
L2 solution PSNR_ROI=35.7459001003292
init v=2023.89526367188 u=866.907409667969 u0=106551.1484375
solution space=(alpha>=1 OR 0.278726<beta<=122.909491)
Initial conditions are not satisfied!
Iteration 1 PSNR_ROI=36.16073266 dB, data_fidel=715.258667, data_consist=184.676758, sparsity=328724.403564, overall=184.676758 < 43.345370
Iteration 2 PSNR_ROI=36.76880877 dB, data_fidel=715.258728, data_consist=163.860352, sparsity=329229.867920, overall=163.860352 < 43.345370
Iteration 3 PSNR_ROI=36.84736857 dB, data_fidel=715.258728, data_consist=161.088760, sparsity=329708.622803, overall=161.088760 < 43.345370
Iteration 4 PSNR_ROI=36.93332167 dB, data_fidel=715.258606, data_consist=160.008347, sparsity=330200.726807, overall=160.008347 < 43.345370
Iteration 5 PSNR_ROI=37.05032588 dB, data_fidel=715.258667, data_consist=159.527130, sparsity=330699.466309, overall=159.527130 < 43.345370
Iteration 6 PSNR_ROI=37.17820719 dB, data_fidel=715.258545, data_consist=159.260147, sparsity=331207.156982, overall=159.260147 < 43.345370
Iteration 7 PSNR_ROI=37.31436210 dB, data_fidel=715.258606, data_consist=159.124985, sparsity=331720.996338, overall=159.124985 < 43.345370
Iteration 8 PSNR_ROI=37.45710147 dB, data_fidel=715.258606, data_consist=158.982590, sparsity=332225.135986, overall=158.982590 < 43.345370
Iteration 9 PSNR_ROI=37.58821333 dB, data_fidel=715.258728, data_consist=159.052567, sparsity=332748.605713, overall=159.052567 < 43.345370
Iteration 10 PSNR_ROI=37.73130286 dB, data_fidel=715.258545, data_consist=159.059341, sparsity=333273.184326, overall=159.059341 < 43.345370
Iteration 11 PSNR_ROI=37.87414346 dB, data_fidel=715.258667, data_consist=159.088638, sparsity=333797.895752, overall=159.088638 < 43.345370
Iteration 12 PSNR_ROI=38.01134861 dB, data_fidel=715.258606, data_consist=159.074081, sparsity=334334.128418, overall=159.074081 < 43.345370
Iteration 13 PSNR_ROI=38.17143621 dB, data_fidel=715.258728, data_consist=159.148972, sparsity=334853.778564, overall=159.148972 < 43.345370
Iteration 14 PSNR_ROI=38.31188193 dB, data_fidel=715.258667, data_consist=159.158066, sparsity=335366.296387, overall=159.158066 < 43.345370
Iteration 15 PSNR_ROI=38.44623576 dB, data_fidel=715.258667, data_consist=159.149521, sparsity=335871.127930, overall=159.149521 < 43.345370
Iteration 16 PSNR_ROI=38.57572346 dB, data_fidel=715.258606, data_consist=159.134384, sparsity=336367.501465, overall=159.134384 < 43.345370
Iteration 17 PSNR_ROI=38.70313075 dB, data_fidel=715.258789, data_consist=159.096649, sparsity=336848.016113, overall=159.096649 < 43.345370
Iteration 18 PSNR_ROI=38.81903314 dB, data_fidel=715.258667, data_consist=159.041809, sparsity=337316.480713, overall=159.041809 < 43.345370
Iteration 19 PSNR_ROI=38.93120436 dB, data_fidel=715.258606, data_consist=158.985550, sparsity=337769.760742, overall=158.985550 < 43.345370
Iteration 20 PSNR_ROI=39.03648342 dB, data_fidel=715.258667, data_consist=158.939499, sparsity=338205.114258, overall=158.939499 < 43.345370
Iteration 21 PSNR_ROI=39.13300444 dB, data_fidel=715.258667, data_consist=158.853699, sparsity=338614.760010, overall=158.853699 < 43.345370
Iteration 22 PSNR_ROI=39.22002327 dB, data_fidel=715.258545, data_consist=158.797485, sparsity=338998.080811, overall=158.797485 < 43.345370
Iteration 23 PSNR_ROI=39.30299427 dB, data_fidel=715.258667, data_consist=158.764526, sparsity=339340.960205, overall=158.764526 < 43.345370
Iteration 24 PSNR_ROI=39.35471653 dB, data_fidel=715.258606, data_consist=158.735168, sparsity=339657.159668, overall=158.735168 < 43.345370
Iteration 25 PSNR_ROI=39.40895913 dB, data_fidel=715.258667, data_consist=158.746262, sparsity=339933.918945, overall=158.746262 < 43.345370
Iteration 26 PSNR_ROI=39.44609349 dB, data_fidel=715.258667, data_consist=158.779495, sparsity=340170.753662, overall=158.779495 < 43.345370
Stopping condition (overall_err < 43.345370) reached
Processing SIRA-FIDEL: 21210.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=128 PSNR=39.446093 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_128.png
Processing SIRA-FIDEL roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.185546875
iteration 3 err=1209.96240234375
iteration 4 err=269.338043212891
iteration 5 err=98.2791595458984
iteration 6 err=22.0613059997559
iteration 7 err=9.79523277282715
iteration 8 err=7.50079202651978
iteration 9 err=9.35423183441162
iteration 10 err=4.05373620986938
iteration 11 err=2.32086229324341
iteration 12 err=1.24723589420319
iteration 13 err=0.792606711387634
iteration 14 err=0.466636717319489
iteration 15 err=0.381092131137848
iteration 16 err=0.904885172843933
iteration 17 err=0.486573874950409
iteration 18 err=0.479793339967728
iteration 19 err=0.229084894061089
iteration 20 err=0.213059797883034
CG iteration 1 err=226942.90625
CG iteration 2 err=3155.158203125
CG iteration 3 err=305.143859863281
CG iteration 4 err=56.7501373291016
CG iteration 5 err=15.7282304763794
CG iteration 6 err=6.20313405990601
CG iteration 7 err=4.54161500930786
CG iteration 8 err=3.58432769775391
CG iteration 9 err=2.77636623382568
CG iteration 10 err=1.22400331497192
CG iteration 11 err=0.72538834810257
CG iteration 12 err=0.434446513652802
CG iteration 13 err=0.414492428302765
CG iteration 14 err=0.311742842197418
CG iteration 15 err=0.843582987785339
CG iteration 16 err=0.312171161174774
CG iteration 17 err=0.247702479362488
CG iteration 18 err=0.173898875713348
CG iteration 19 err=0.156297445297241
CG iteration 20 err=0.274011522531509
L2 solution PSNR_ROI=37.3352402529357
init v=2206.25610351563 u=870.877197265625 u0=98719.9765625
solution space=(alpha>=1 OR 0.350058<beta<=113.356943)
Initial conditions are not satisfied!
Iteration 1 PSNR_ROI=37.72392922 dB, data_fidel=703.848999, data_consist=207.821503, sparsity=332934.075195, overall=207.821503 < 43.543860
Iteration 2 PSNR_ROI=38.49662579 dB, data_fidel=703.848938, data_consist=183.581635, sparsity=333443.181396, overall=183.581635 < 43.543860
Iteration 3 PSNR_ROI=38.58305737 dB, data_fidel=703.849060, data_consist=179.541504, sparsity=333940.314209, overall=179.541504 < 43.543860
Iteration 4 PSNR_ROI=38.69084950 dB, data_fidel=703.848999, data_consist=177.842972, sparsity=334439.555908, overall=177.842972 < 43.543860
Iteration 5 PSNR_ROI=38.82211066 dB, data_fidel=703.849060, data_consist=176.962067, sparsity=334943.641357, overall=176.962067 < 43.543860
Iteration 6 PSNR_ROI=38.96506243 dB, data_fidel=703.848999, data_consist=176.414444, sparsity=335456.296631, overall=176.414444 < 43.543860
Iteration 7 PSNR_ROI=39.11798755 dB, data_fidel=703.848938, data_consist=176.037323, sparsity=335975.869873, overall=176.037323 < 43.543860
Iteration 8 PSNR_ROI=39.27518831 dB, data_fidel=703.848938, data_consist=175.767334, sparsity=336501.440186, overall=175.767334 < 43.543860
Iteration 9 PSNR_ROI=39.43573086 dB, data_fidel=703.848999, data_consist=175.570160, sparsity=337029.825684, overall=175.570160 < 43.543860
Iteration 10 PSNR_ROI=39.59590905 dB, data_fidel=703.849060, data_consist=175.412796, sparsity=337559.837646, overall=175.412796 < 43.543860
Iteration 11 PSNR_ROI=39.75473777 dB, data_fidel=703.848999, data_consist=175.304840, sparsity=338092.391113, overall=175.304840 < 43.543860
Iteration 12 PSNR_ROI=39.91653114 dB, data_fidel=703.848999, data_consist=175.216553, sparsity=338620.844971, overall=175.216553 < 43.543860
Iteration 13 PSNR_ROI=40.07297582 dB, data_fidel=703.848999, data_consist=175.139008, sparsity=339146.999023, overall=175.139008 < 43.543860
Iteration 14 PSNR_ROI=40.22716599 dB, data_fidel=703.848877, data_consist=175.066772, sparsity=339667.220459, overall=175.066772 < 43.543860
Iteration 15 PSNR_ROI=40.37771532 dB, data_fidel=703.848938, data_consist=174.979599, sparsity=340177.641846, overall=174.979599 < 43.543860
Iteration 16 PSNR_ROI=40.51993754 dB, data_fidel=703.848999, data_consist=174.919250, sparsity=340679.491699, overall=174.919250 < 43.543860
Iteration 17 PSNR_ROI=40.65619485 dB, data_fidel=703.848938, data_consist=174.838150, sparsity=341169.912109, overall=174.838150 < 43.543860
Iteration 18 PSNR_ROI=40.78331697 dB, data_fidel=703.848999, data_consist=174.749283, sparsity=341648.691650, overall=174.749283 < 43.543860
Iteration 19 PSNR_ROI=40.90241765 dB, data_fidel=703.848877, data_consist=174.654037, sparsity=342113.762695, overall=174.654037 < 43.543860
Iteration 20 PSNR_ROI=41.01448861 dB, data_fidel=703.848938, data_consist=174.560349, sparsity=342560.024658, overall=174.560349 < 43.543860
Iteration 21 PSNR_ROI=41.11563473 dB, data_fidel=703.849060, data_consist=174.467819, sparsity=342984.520508, overall=174.467819 < 43.543860
Iteration 22 PSNR_ROI=41.20835689 dB, data_fidel=703.849060, data_consist=174.384232, sparsity=343381.199951, overall=174.384232 < 43.543860
Iteration 23 PSNR_ROI=41.28704834 dB, data_fidel=703.848999, data_consist=174.316025, sparsity=343747.360840, overall=174.316025 < 43.543860
Iteration 24 PSNR_ROI=41.35583165 dB, data_fidel=703.849060, data_consist=174.272644, sparsity=344076.832031, overall=174.272644 < 43.543860
Iteration 25 PSNR_ROI=41.40545365 dB, data_fidel=703.848877, data_consist=174.261978, sparsity=344368.291260, overall=174.261978 < 43.543860
Iteration 26 PSNR_ROI=41.44090902 dB, data_fidel=703.848938, data_consist=174.291321, sparsity=344615.623779, overall=174.291321 < 43.543860
Stopping condition (overall_err < 43.543860) reached
Processing SIRA-FIDEL: 21210.03 ms
RESULT SIRA-FIDEL IMAGE=abdomen RADIUS=140 PSNR=41.440909 TIME=0.100000 FILE=SIRA-FIDEL/recon_SIRA-FIDEL_abdomen_140.png
Processing SIRA-L2 roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.171157836914
iteration 4 err=53.2239723205566
iteration 5 err=9.53464794158936
iteration 6 err=3.79743409156799
iteration 7 err=1.82116830348969
iteration 8 err=1.99727642536163
iteration 9 err=1.69000780582428
iteration 10 err=0.816828846931458
iteration 11 err=0.376386493444443
iteration 12 err=0.244827210903168
iteration 13 err=0.168450906872749
iteration 14 err=0.0963913202285767
iteration 15 err=0.0870951414108276
iteration 16 err=0.113440819084644
iteration 17 err=0.112548612058163
iteration 18 err=0.0374209992587566
iteration 19 err=0.0358391515910625
iteration 20 err=0.0286639537662268
CG iteration 1 err=2357.33666992188
CG iteration 2 err=1.52184593677521
CG iteration 3 err=0.574017882347107
CG iteration 4 err=0.2651047706604
CG iteration 5 err=0.0998236387968063
CG iteration 6 err=0.105071544647217
CG iteration 7 err=0.141829773783684
CG iteration 8 err=0.0676596015691757
CG iteration 9 err=0.0474788509309292
CG iteration 10 err=0.0513715967535973
CG iteration 11 err=0.0403784066438675
CG iteration 12 err=0.0200973656028509
CG iteration 13 err=0.0165271684527397
CG iteration 14 err=0.0208471063524485
CG iteration 15 err=0.0109637919813395
CG iteration 16 err=0.006114287301898
CG iteration 17 err=0.0114518366754055
CG iteration 18 err=0.0107136396691203
CG iteration 19 err=0.00458023557439446
CG iteration 20 err=0.00505739916115999
Processing SIRA-L2: 1225.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=12 PSNR=23.572235 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_12.png
Processing SIRA-L2 roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.17121887207
iteration 4 err=53.224006652832
iteration 5 err=9.53464984893799
iteration 6 err=3.79766893386841
iteration 7 err=1.84360802173615
iteration 8 err=2.66706442832947
iteration 9 err=1.46952879428864
iteration 10 err=0.789253830909729
iteration 11 err=0.376263856887817
iteration 12 err=0.24482749402523
iteration 13 err=0.168452188372612
iteration 14 err=0.0964196398854256
iteration 15 err=0.0917743071913719
iteration 16 err=0.169733881950378
iteration 17 err=0.0810863375663757
iteration 18 err=0.0373319052159786
iteration 19 err=0.0358363874256611
iteration 20 err=0.0285726003348827
CG iteration 1 err=3760.46142578125
CG iteration 2 err=2.56623530387878
CG iteration 3 err=0.91673082113266
CG iteration 4 err=0.354095607995987
CG iteration 5 err=0.103485450148582
CG iteration 6 err=0.0992488488554955
CG iteration 7 err=0.14173698425293
CG iteration 8 err=0.0559341758489609
CG iteration 9 err=0.0757739767432213
CG iteration 10 err=0.107844859361649
CG iteration 11 err=0.0395421013236046
CG iteration 12 err=0.0192222539335489
CG iteration 13 err=0.023207675665617
CG iteration 14 err=0.0183949265629053
CG iteration 15 err=0.0103677744045854
CG iteration 16 err=0.0101419016718864
CG iteration 17 err=0.0268366299569607
CG iteration 18 err=0.00605154130607843
CG iteration 19 err=0.00727526051923633
CG iteration 20 err=0.00860556028783321
Processing SIRA-L2: 1180.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=16 PSNR=23.090290 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_16.png
Processing SIRA-L2 roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65844726563
iteration 3 err=191.17121887207
iteration 4 err=53.2239990234375
iteration 5 err=9.53465270996094
iteration 6 err=3.79732656478882
iteration 7 err=1.81011641025543
iteration 8 err=1.54873383045197
iteration 9 err=1.26523351669312
iteration 10 err=1.12494957447052
iteration 11 err=0.378034800291061
iteration 12 err=0.244838237762451
iteration 13 err=0.168452695012093
iteration 14 err=0.0963843464851379
iteration 15 err=0.0856874361634254
iteration 16 err=0.066301666200161
iteration 17 err=0.0437561832368374
iteration 18 err=0.148089095950127
iteration 19 err=0.0364347323775291
iteration 20 err=0.028700353577733
CG iteration 1 err=7262.5517578125
CG iteration 2 err=5.27585649490356
CG iteration 3 err=1.69742357730865
CG iteration 4 err=0.540088653564453
CG iteration 5 err=0.146596804261208
CG iteration 6 err=0.0894138514995575
CG iteration 7 err=0.142342418432236
CG iteration 8 err=0.0514967367053032
CG iteration 9 err=0.200899243354797
CG iteration 10 err=0.0778591632843018
CG iteration 11 err=0.0382478460669518
CG iteration 12 err=0.0335045419633389
CG iteration 13 err=0.0200599804520607
CG iteration 14 err=0.0150162717327476
CG iteration 15 err=0.0125251309946179
CG iteration 16 err=0.0164284259080887
CG iteration 17 err=0.0222279541194439
CG iteration 18 err=0.00725996633991599
CG iteration 19 err=0.00778652634471655
CG iteration 20 err=0.0130111984908581
Processing SIRA-L2: 1180.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=24 PSNR=22.399485 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_24.png
Processing SIRA-L2 roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65905761719
iteration 3 err=191.171234130859
iteration 4 err=53.2239685058594
iteration 5 err=9.53464221954346
iteration 6 err=3.79732275009155
iteration 7 err=1.81038510799408
iteration 8 err=1.56099200248718
iteration 9 err=1.3337813615799
iteration 10 err=1.07246959209442
iteration 11 err=0.377711653709412
iteration 12 err=0.244835212826729
iteration 13 err=0.168451532721519
iteration 14 err=0.0963837206363678
iteration 15 err=0.0857068374752998
iteration 16 err=0.0671601518988609
iteration 17 err=0.13985975086689
iteration 18 err=0.045015711337328
iteration 19 err=0.035858903080225
iteration 20 err=0.0285459235310555
CG iteration 1 err=11545.611328125
CG iteration 2 err=8.4600248336792
CG iteration 3 err=2.44759345054626
CG iteration 4 err=0.734146952629089
CG iteration 5 err=0.198843404650688
CG iteration 6 err=0.110182672739029
CG iteration 7 err=0.0792901292443275
CG iteration 8 err=0.107704676687717
CG iteration 9 err=0.167067646980286
CG iteration 10 err=0.0463293865323067
CG iteration 11 err=0.0554242804646492
CG iteration 12 err=0.036436140537262
CG iteration 13 err=0.0210062488913536
CG iteration 14 err=0.0153118642047048
CG iteration 15 err=0.024768928065896
CG iteration 16 err=0.0263763647526503
CG iteration 17 err=0.0116029577329755
CG iteration 18 err=0.00976815447211266
CG iteration 19 err=0.00777135509997606
CG iteration 20 err=0.0113275991752744
Processing SIRA-L2: 1180.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=32 PSNR=22.183388 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_32.png
Processing SIRA-L2 roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.171157836914
iteration 4 err=53.2239761352539
iteration 5 err=9.53464889526367
iteration 6 err=3.797438621521
iteration 7 err=1.82154297828674
iteration 8 err=2.01090240478516
iteration 9 err=1.68545794487
iteration 10 err=0.815587162971497
iteration 11 err=0.376382023096085
iteration 12 err=0.244828253984451
iteration 13 err=0.168451756238937
iteration 14 err=0.0963850319385529
iteration 15 err=0.0858819633722305
iteration 16 err=0.074429951608181
iteration 17 err=0.217011317610741
iteration 18 err=0.0381422527134418
iteration 19 err=0.0358391292393208
iteration 20 err=0.0285743549466133
CG iteration 1 err=22000.712890625
CG iteration 2 err=16.617244720459
CG iteration 3 err=3.93946242332459
CG iteration 4 err=1.25729894638062
CG iteration 5 err=0.30663076043129
CG iteration 6 err=0.164699375629425
CG iteration 7 err=0.125214070081711
CG iteration 8 err=0.0803095772862434
CG iteration 9 err=0.190176770091057
CG iteration 10 err=0.0503338649868965
CG iteration 11 err=0.0452666655182838
CG iteration 12 err=0.0424596220254898
CG iteration 13 err=0.0256623588502407
CG iteration 14 err=0.027701273560524
CG iteration 15 err=0.0134987970814109
CG iteration 16 err=0.0207139980047941
CG iteration 17 err=0.0375103950500488
CG iteration 18 err=0.014598430134356
CG iteration 19 err=0.00963813718408346
CG iteration 20 err=0.0206344649195671
Processing SIRA-L2: 1180.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=48 PSNR=24.564036 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_48.png
Processing SIRA-L2 roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65856933594
iteration 3 err=191.171203613281
iteration 4 err=53.2239837646484
iteration 5 err=9.5346508026123
iteration 6 err=3.7973210811615
iteration 7 err=1.80997049808502
iteration 8 err=1.54234957695007
iteration 9 err=1.22530972957611
iteration 10 err=1.15999090671539
iteration 11 err=0.378260374069214
iteration 12 err=0.244838148355484
iteration 13 err=0.168451488018036
iteration 14 err=0.096383661031723
iteration 15 err=0.0857050716876984
iteration 16 err=0.0670958757400513
iteration 17 err=0.134757056832314
iteration 18 err=0.0455982759594917
iteration 19 err=0.0358648225665092
iteration 20 err=0.028677374124527
CG iteration 1 err=34191.48046875
CG iteration 2 err=25.7049160003662
CG iteration 3 err=5.11047410964966
CG iteration 4 err=1.59084451198578
CG iteration 5 err=0.478709310293198
CG iteration 6 err=0.22900815308094
CG iteration 7 err=0.203720152378082
CG iteration 8 err=0.123030334711075
CG iteration 9 err=0.159618452191353
CG iteration 10 err=0.0688821971416473
CG iteration 11 err=0.0476736836135387
CG iteration 12 err=0.0525493249297142
CG iteration 13 err=0.0378062725067139
CG iteration 14 err=0.032193548977375
CG iteration 15 err=0.0213381834328175
CG iteration 16 err=0.101758174598217
CG iteration 17 err=0.0181013774126768
CG iteration 18 err=0.0116324732080102
CG iteration 19 err=0.0121895419433713
CG iteration 20 err=0.0122894588857889
Processing SIRA-L2: 1185.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=64 PSNR=26.363227 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_64.png
Processing SIRA-L2 roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65869140625
iteration 3 err=191.171310424805
iteration 4 err=53.2240371704102
iteration 5 err=9.53465366363525
iteration 6 err=3.79732656478882
iteration 7 err=1.81054472923279
iteration 8 err=1.56805968284607
iteration 9 err=1.36888146400452
iteration 10 err=1.04866325855255
iteration 11 err=0.377572536468506
iteration 12 err=0.244834840297699
iteration 13 err=0.168451935052872
iteration 14 err=0.0963849723339081
iteration 15 err=0.0858644172549248
iteration 16 err=0.07371935993433
iteration 17 err=0.220601990818977
iteration 18 err=0.0382248423993587
iteration 19 err=0.035837396979332
iteration 20 err=0.0285138692706823
CG iteration 1 err=47591.42578125
CG iteration 2 err=35.557445526123
CG iteration 3 err=5.95090579986572
CG iteration 4 err=1.89103448390961
CG iteration 5 err=0.637725055217743
CG iteration 6 err=0.361318588256836
CG iteration 7 err=0.553037166595459
CG iteration 8 err=0.204157054424286
CG iteration 9 err=0.115066856145859
CG iteration 10 err=0.086150087416172
CG iteration 11 err=0.0513520799577236
CG iteration 12 err=0.0614923387765884
CG iteration 13 err=0.0496097020804882
CG iteration 14 err=0.0917118415236473
CG iteration 15 err=0.0451693795621395
CG iteration 16 err=0.0275392550975084
CG iteration 17 err=0.018961688503623
CG iteration 18 err=0.023942481726408
CG iteration 19 err=0.0212015304714441
CG iteration 20 err=0.0104653164744377
Processing SIRA-L2: 1180.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=80 PSNR=29.668596 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_80.png
Processing SIRA-L2 roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.171188354492
iteration 4 err=53.2239761352539
iteration 5 err=9.53464508056641
iteration 6 err=3.79743313789368
iteration 7 err=1.82089614868164
iteration 8 err=1.9873024225235
iteration 9 err=1.69326376914978
iteration 10 err=0.817784488201141
iteration 11 err=0.376392066478729
iteration 12 err=0.244828507304192
iteration 13 err=0.168451875448227
iteration 14 err=0.0963903144001961
iteration 15 err=0.0867957100272179
iteration 16 err=0.105391517281532
iteration 17 err=0.122036874294281
iteration 18 err=0.0374529175460339
iteration 19 err=0.0358392857015133
iteration 20 err=0.0286518167704344
CG iteration 1 err=61638.33203125
CG iteration 2 err=43.092887878418
CG iteration 3 err=6.41868162155151
CG iteration 4 err=2.16840124130249
CG iteration 5 err=0.809935629367828
CG iteration 6 err=0.462155908346176
CG iteration 7 err=0.242486506700516
CG iteration 8 err=0.383438497781754
CG iteration 9 err=0.138464868068695
CG iteration 10 err=0.0936542376875877
CG iteration 11 err=0.0559159778058529
CG iteration 12 err=0.0671938806772232
CG iteration 13 err=0.0571525767445564
CG iteration 14 err=0.0396627709269524
CG iteration 15 err=0.11855873465538
CG iteration 16 err=0.037369504570961
CG iteration 17 err=0.0377948991954327
CG iteration 18 err=0.0250244382768869
CG iteration 19 err=0.0168506689369679
CG iteration 20 err=0.0198774486780167
Processing SIRA-L2: 1185.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=96 PSNR=32.561711 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_96.png
Processing SIRA-L2 roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65869140625
iteration 3 err=191.171249389648
iteration 4 err=53.223991394043
iteration 5 err=9.53463840484619
iteration 6 err=3.79731678962708
iteration 7 err=1.8099148273468
iteration 8 err=1.53988182544708
iteration 9 err=1.20900475978851
iteration 10 err=1.17543745040894
iteration 11 err=0.378363609313965
iteration 12 err=0.244838491082191
iteration 13 err=0.168451383709908
iteration 14 err=0.0963835790753365
iteration 15 err=0.0856913849711418
iteration 16 err=0.0664997771382332
iteration 17 err=0.0724087134003639
iteration 18 err=0.0646994113922119
iteration 19 err=0.0359245128929615
iteration 20 err=0.0285119041800499
CG iteration 1 err=88794.03125
CG iteration 2 err=49.3359870910645
CG iteration 3 err=8.91413497924805
CG iteration 4 err=4.31355667114258
CG iteration 5 err=1.91398859024048
CG iteration 6 err=0.67239773273468
CG iteration 7 err=1.14807260036469
CG iteration 8 err=0.330362915992737
CG iteration 9 err=0.191451698541641
CG iteration 10 err=0.133854299783707
CG iteration 11 err=0.0839044451713562
CG iteration 12 err=0.101712688803673
CG iteration 13 err=0.0670737251639366
CG iteration 14 err=0.0971465855836868
CG iteration 15 err=0.109758511185646
CG iteration 16 err=0.0542804449796677
CG iteration 17 err=0.0334460400044918
CG iteration 18 err=0.0249664895236492
CG iteration 19 err=0.0275552440434694
CG iteration 20 err=0.0200469102710485
Processing SIRA-L2: 1185.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=128 PSNR=32.683313 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_128.png
Processing SIRA-L2 roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65881347656
iteration 3 err=191.171264648438
iteration 4 err=53.2240028381348
iteration 5 err=9.53464508056641
iteration 6 err=3.79732131958008
iteration 7 err=1.81031179428101
iteration 8 err=1.5576810836792
iteration 9 err=1.31624972820282
iteration 10 err=1.08507895469666
iteration 11 err=0.377786844968796
iteration 12 err=0.244835719466209
iteration 13 err=0.168451756238937
iteration 14 err=0.0963838696479797
iteration 15 err=0.0856918618083
iteration 16 err=0.0665117725729942
iteration 17 err=0.0739555060863495
iteration 18 err=0.0635157153010368
iteration 19 err=0.0359199829399586
iteration 20 err=0.0284969471395016
CG iteration 1 err=98444.3125
CG iteration 2 err=61.0094680786133
CG iteration 3 err=16.8099536895752
CG iteration 4 err=6.95400810241699
CG iteration 5 err=2.6247832775116
CG iteration 6 err=0.790423095226288
CG iteration 7 err=0.820644021034241
CG iteration 8 err=0.522636830806732
CG iteration 9 err=0.234525918960571
CG iteration 10 err=0.167080417275429
CG iteration 11 err=0.120022907853127
CG iteration 12 err=0.109220698475838
CG iteration 13 err=0.0710555836558342
CG iteration 14 err=0.0701232179999352
CG iteration 15 err=0.205751582980156
CG iteration 16 err=0.0680390298366547
CG iteration 17 err=0.0395332835614681
CG iteration 18 err=0.0291194058954716
CG iteration 19 err=0.0264092534780502
CG iteration 20 err=0.0240172185003757
Processing SIRA-L2: 1185.002 ms
RESULT SIRA-L2 IMAGE=mouse RADIUS=140 PSNR=34.084383 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_mouse_140.png
Processing SIRA-L2 roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18359375
iteration 3 err=1209.96179199219
iteration 4 err=269.338073730469
iteration 5 err=98.279182434082
iteration 6 err=22.0616817474365
iteration 7 err=9.82124614715576
iteration 8 err=8.85569858551025
iteration 9 err=9.99006938934326
iteration 10 err=3.65506672859192
iteration 11 err=2.31790590286255
iteration 12 err=1.24721074104309
iteration 13 err=0.792601227760315
iteration 14 err=0.466951817274094
iteration 15 err=0.498795956373215
iteration 16 err=0.827756941318512
iteration 17 err=0.306788861751556
iteration 18 err=0.300727277994156
iteration 19 err=0.343268275260925
iteration 20 err=0.235235601663589
CG iteration 1 err=5128.40625
CG iteration 2 err=56.9622192382813
CG iteration 3 err=3.78300094604492
CG iteration 4 err=0.816747486591339
CG iteration 5 err=0.384625643491745
CG iteration 6 err=0.351442664861679
CG iteration 7 err=0.217065364122391
CG iteration 8 err=0.142609968781471
CG iteration 9 err=0.0918536782264709
CG iteration 10 err=0.215505242347717
CG iteration 11 err=0.104457966983318
CG iteration 12 err=0.0522676855325699
CG iteration 13 err=0.0425256043672562
CG iteration 14 err=0.0450331456959248
CG iteration 15 err=0.0221411399543285
CG iteration 16 err=0.0173862613737583
CG iteration 17 err=0.022193344309926
CG iteration 18 err=0.030007379129529
CG iteration 19 err=0.0291372872889042
CG iteration 20 err=0.0153189897537231
Processing SIRA-L2: 735.001 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=12 PSNR=20.729598 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_12.png
Processing SIRA-L2 roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1845703125
iteration 3 err=1209.9619140625
iteration 4 err=269.337921142578
iteration 5 err=98.2790756225586
iteration 6 err=22.0614528656006
iteration 7 err=9.80633544921875
iteration 8 err=8.09528541564941
iteration 9 err=10.2558469772339
iteration 10 err=3.76539039611816
iteration 11 err=2.31870412826538
iteration 12 err=1.24722027778625
iteration 13 err=0.792607665061951
iteration 14 err=0.466810166835785
iteration 15 err=0.440570026636124
iteration 16 err=1.03655135631561
iteration 17 err=0.363328337669373
iteration 18 err=0.499138563871384
iteration 19 err=0.235109910368919
iteration 20 err=0.21345528960228
CG iteration 1 err=8238.9951171875
CG iteration 2 err=84.8977966308594
CG iteration 3 err=5.77772092819214
CG iteration 4 err=1.32571732997894
CG iteration 5 err=0.538423180580139
CG iteration 6 err=0.375279158353806
CG iteration 7 err=0.217879682779312
CG iteration 8 err=0.14268296957016
CG iteration 9 err=0.155776426196098
CG iteration 10 err=0.287663370370865
CG iteration 11 err=0.0716734975576401
CG iteration 12 err=0.0510174855589867
CG iteration 13 err=0.0723346695303917
CG iteration 14 err=0.0414635725319386
CG iteration 15 err=0.0272479876875877
CG iteration 16 err=0.0279095117002726
CG iteration 17 err=0.0927870944142342
CG iteration 18 err=0.0241839550435543
CG iteration 19 err=0.0176796149462461
CG iteration 20 err=0.0231826473027468
Processing SIRA-L2: 730.001 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=16 PSNR=21.059492 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_16.png
Processing SIRA-L2 roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18408203125
iteration 3 err=1209.96179199219
iteration 4 err=269.337921142578
iteration 5 err=98.2790679931641
iteration 6 err=22.0614414215088
iteration 7 err=9.80608081817627
iteration 8 err=8.08220672607422
iteration 9 err=10.2532348632813
iteration 10 err=3.76855182647705
iteration 11 err=2.31872749328613
iteration 12 err=1.24722111225128
iteration 13 err=0.792618811130524
iteration 14 err=0.467184960842133
iteration 15 err=0.450275629758835
iteration 16 err=1.00097441673279
iteration 17 err=0.468155920505524
iteration 18 err=0.41270723938942
iteration 19 err=0.224670261144638
iteration 20 err=0.212794944643974
CG iteration 1 err=16180.904296875
CG iteration 2 err=155.074691772461
CG iteration 3 err=10.8845510482788
CG iteration 4 err=2.74895119667053
CG iteration 5 err=1.17000210285187
CG iteration 6 err=0.496125906705856
CG iteration 7 err=0.25971445441246
CG iteration 8 err=0.143944397568703
CG iteration 9 err=0.432961374521255
CG iteration 10 err=0.147881835699081
CG iteration 11 err=0.0963278263807297
CG iteration 12 err=0.0982326120138168
CG iteration 13 err=0.0840009823441505
CG iteration 14 err=0.0429099686443806
CG iteration 15 err=0.0419359318912029
CG iteration 16 err=0.0486224852502346
CG iteration 17 err=0.0912789404392242
CG iteration 18 err=0.026933578774333
CG iteration 19 err=0.0450571924448013
CG iteration 20 err=0.0233710184693336
Processing SIRA-L2: 735.001 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=24 PSNR=22.993422 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_24.png
Processing SIRA-L2 roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18408203125
iteration 3 err=1209.96240234375
iteration 4 err=269.338134765625
iteration 5 err=98.2791595458984
iteration 6 err=22.0614624023438
iteration 7 err=9.80591583251953
iteration 8 err=8.07293224334717
iteration 9 err=10.251124382019
iteration 10 err=3.77084159851074
iteration 11 err=2.31874322891235
iteration 12 err=1.24722039699554
iteration 13 err=0.792606830596924
iteration 14 err=0.466736346483231
iteration 15 err=0.422443866729736
iteration 16 err=1.12062752246857
iteration 17 err=0.370658755302429
iteration 18 err=0.496866136789322
iteration 19 err=0.23409628868103
iteration 20 err=0.213387072086334
CG iteration 1 err=25932.345703125
CG iteration 2 err=244.26530456543
CG iteration 3 err=17.1382694244385
CG iteration 4 err=4.54494142532349
CG iteration 5 err=2.03136992454529
CG iteration 6 err=0.651539385318756
CG iteration 7 err=0.284583479166031
CG iteration 8 err=0.221853867173195
CG iteration 9 err=0.21952560544014
CG iteration 10 err=0.268795609474182
CG iteration 11 err=0.127352058887482
CG iteration 12 err=0.111751690506935
CG iteration 13 err=0.0803628489375114
CG iteration 14 err=0.0569412261247635
CG iteration 15 err=0.0645292550325394
CG iteration 16 err=0.0497213341295719
CG iteration 17 err=0.138031914830208
CG iteration 18 err=0.0399348884820938
CG iteration 19 err=0.0504971221089363
CG iteration 20 err=0.0439437367022038
Processing SIRA-L2: 735.001 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=32 PSNR=23.910806 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_32.png
Processing SIRA-L2 roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1845703125
iteration 3 err=1209.96215820313
iteration 4 err=269.338012695313
iteration 5 err=98.2791748046875
iteration 6 err=22.0613059997559
iteration 7 err=9.79488754272461
iteration 8 err=7.48172950744629
iteration 9 err=9.27959823608398
iteration 10 err=4.07313442230225
iteration 11 err=2.32101655006409
iteration 12 err=1.24724042415619
iteration 13 err=0.792618036270142
iteration 14 err=0.466935575008392
iteration 15 err=0.393238127231598
iteration 16 err=0.880972564220428
iteration 17 err=0.573782026767731
iteration 18 err=0.424453735351563
iteration 19 err=0.224631428718567
iteration 20 err=0.212787374854088
CG iteration 1 err=49401.17578125
CG iteration 2 err=472.914489746094
CG iteration 3 err=33.6956253051758
CG iteration 4 err=8.94026374816895
CG iteration 5 err=2.86299729347229
CG iteration 6 err=1.1984156370163
CG iteration 7 err=0.513670444488525
CG iteration 8 err=0.350708901882172
CG iteration 9 err=0.283592045307159
CG iteration 10 err=0.388591021299362
CG iteration 11 err=0.170869097113609
CG iteration 12 err=0.156267270445824
CG iteration 13 err=0.121200241148472
CG iteration 14 err=0.0997560769319534
CG iteration 15 err=0.0795185938477516
CG iteration 16 err=0.0616371147334576
CG iteration 17 err=0.0793817117810249
CG iteration 18 err=0.156028032302856
CG iteration 19 err=0.0449189580976963
CG iteration 20 err=0.0405610129237175
Processing SIRA-L2: 735.0011 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=48 PSNR=26.104912 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_48.png
Processing SIRA-L2 roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1865234375
iteration 3 err=1209.96252441406
iteration 4 err=269.338134765625
iteration 5 err=98.2791976928711
iteration 6 err=22.0613193511963
iteration 7 err=9.79494094848633
iteration 8 err=7.48444414138794
iteration 9 err=9.29050922393799
iteration 10 err=4.0703010559082
iteration 11 err=2.32099676132202
iteration 12 err=1.24724066257477
iteration 13 err=0.792601525783539
iteration 14 err=0.466351926326752
iteration 15 err=0.368622273206711
iteration 16 err=0.867712438106537
iteration 17 err=0.37986347079277
iteration 18 err=0.260075867176056
iteration 19 err=0.257144421339035
iteration 20 err=0.329024642705917
CG iteration 1 err=77359.6953125
CG iteration 2 err=767.395141601563
CG iteration 3 err=49.0584144592285
CG iteration 4 err=8.56018447875977
CG iteration 5 err=3.76434707641602
CG iteration 6 err=1.36091041564941
CG iteration 7 err=0.62174391746521
CG iteration 8 err=0.582478284835815
CG iteration 9 err=1.04199576377869
CG iteration 10 err=0.333984613418579
CG iteration 11 err=0.239740163087845
CG iteration 12 err=0.208110302686691
CG iteration 13 err=0.153821215033531
CG iteration 14 err=0.141976833343506
CG iteration 15 err=0.126896008849144
CG iteration 16 err=0.143478229641914
CG iteration 17 err=0.184081092476845
CG iteration 18 err=0.0640318170189857
CG iteration 19 err=0.0676212906837463
CG iteration 20 err=0.0541675537824631
Processing SIRA-L2: 735.0011 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=64 PSNR=29.484244 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_64.png
Processing SIRA-L2 roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18701171875
iteration 3 err=1209.96252441406
iteration 4 err=269.338348388672
iteration 5 err=98.2792129516602
iteration 6 err=22.0612182617188
iteration 7 err=9.78807067871094
iteration 8 err=7.10382890701294
iteration 9 err=6.28157711029053
iteration 10 err=5.29217195510864
iteration 11 err=2.33184933662415
iteration 12 err=1.2473326921463
iteration 13 err=0.792601764202118
iteration 14 err=0.466348499059677
iteration 15 err=0.364672958850861
iteration 16 err=0.441508203744888
iteration 17 err=0.677575826644897
iteration 18 err=0.370214819908142
iteration 19 err=0.309584766626358
iteration 20 err=0.221098110079765
CG iteration 1 err=109028.90625
CG iteration 2 err=1107.66540527344
CG iteration 3 err=72.5374603271484
CG iteration 4 err=14.5661211013794
CG iteration 5 err=4.66847229003906
CG iteration 6 err=1.59539997577667
CG iteration 7 err=0.853357255458832
CG iteration 8 err=2.19389891624451
CG iteration 9 err=0.581676542758942
CG iteration 10 err=0.430413573980331
CG iteration 11 err=0.332743793725967
CG iteration 12 err=0.234326347708702
CG iteration 13 err=0.185999169945717
CG iteration 14 err=0.13549493253231
CG iteration 15 err=0.537455081939697
CG iteration 16 err=0.122590251266956
CG iteration 17 err=0.093126006424427
CG iteration 18 err=0.135331228375435
CG iteration 19 err=0.0753138735890388
CG iteration 20 err=0.0628927424550056
Processing SIRA-L2: 735.0011 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=80 PSNR=32.441596 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_80.png
Processing SIRA-L2 roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1884765625
iteration 3 err=1209.96276855469
iteration 4 err=269.338287353516
iteration 5 err=98.2792434692383
iteration 6 err=22.0612239837646
iteration 7 err=9.78820514678955
iteration 8 err=7.11126327514648
iteration 9 err=6.38305425643921
iteration 10 err=5.22186946868896
iteration 11 err=2.33113503456116
iteration 12 err=1.24732601642609
iteration 13 err=0.792602121829987
iteration 14 err=0.466376453638077
iteration 15 err=0.365679949522018
iteration 16 err=0.437181979417801
iteration 17 err=0.709496259689331
iteration 18 err=0.476075232028961
iteration 19 err=0.265796422958374
iteration 20 err=0.215728208422661
CG iteration 1 err=142292.1875
CG iteration 2 err=1470.71594238281
CG iteration 3 err=110.155555725098
CG iteration 4 err=25.5542697906494
CG iteration 5 err=6.65627813339233
CG iteration 6 err=2.111323595047
CG iteration 7 err=1.30660963058472
CG iteration 8 err=2.58289957046509
CG iteration 9 err=0.816793620586395
CG iteration 10 err=0.444147676229477
CG iteration 11 err=0.364553540945053
CG iteration 12 err=0.279398739337921
CG iteration 13 err=0.264733910560608
CG iteration 14 err=0.197988644242287
CG iteration 15 err=0.300360947847366
CG iteration 16 err=0.270582109689713
CG iteration 17 err=0.122090570628643
CG iteration 18 err=0.0979454964399338
CG iteration 19 err=0.078398160636425
CG iteration 20 err=0.0656652748584747
Processing SIRA-L2: 735.0011 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=96 PSNR=33.531112 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_96.png
Processing SIRA-L2 roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18603515625
iteration 3 err=1209.962890625
iteration 4 err=269.338348388672
iteration 5 err=98.2792587280273
iteration 6 err=22.0613098144531
iteration 7 err=9.79475116729736
iteration 8 err=7.47450828552246
iteration 9 err=9.25009822845459
iteration 10 err=4.08082818984985
iteration 11 err=2.32107615470886
iteration 12 err=1.24724018573761
iteration 13 err=0.792601585388184
iteration 14 err=0.466411709785461
iteration 15 err=0.371557205915451
iteration 16 err=0.899746358394623
iteration 17 err=0.40161919593811
iteration 18 err=0.476626962423325
iteration 19 err=0.257183283567429
iteration 20 err=0.21506030857563
CG iteration 1 err=205011.921875
CG iteration 2 err=2559.4697265625
CG iteration 3 err=244.944671630859
CG iteration 4 err=48.2488822937012
CG iteration 5 err=13.0770101547241
CG iteration 6 err=4.1739673614502
CG iteration 7 err=3.5440092086792
CG iteration 8 err=1.63660156726837
CG iteration 9 err=3.92136788368225
CG iteration 10 err=0.882435977458954
CG iteration 11 err=0.620586395263672
CG iteration 12 err=0.405156224966049
CG iteration 13 err=0.359478563070297
CG iteration 14 err=0.280202269554138
CG iteration 15 err=0.244030594825745
CG iteration 16 err=0.283793777227402
CG iteration 17 err=0.401925921440125
CG iteration 18 err=0.167115345597267
CG iteration 19 err=0.186650320887566
CG iteration 20 err=0.168731331825256
Processing SIRA-L2: 740.0011 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=128 PSNR=35.742902 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_128.png
Processing SIRA-L2 roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.185546875
iteration 3 err=1209.96228027344
iteration 4 err=269.338165283203
iteration 5 err=98.2791976928711
iteration 6 err=22.0613021850586
iteration 7 err=9.79483127593994
iteration 8 err=7.47904920578003
iteration 9 err=9.2687406539917
iteration 10 err=4.07595920562744
iteration 11 err=2.3210346698761
iteration 12 err=1.24723768234253
iteration 13 err=0.792610764503479
iteration 14 err=0.466804563999176
iteration 15 err=0.397667407989502
iteration 16 err=1.10867500305176
iteration 17 err=0.463641792535782
iteration 18 err=0.445773392915726
iteration 19 err=0.226545736193657
iteration 20 err=0.212906628847122
CG iteration 1 err=226942.90625
CG iteration 2 err=3155.15844726563
CG iteration 3 err=305.143829345703
CG iteration 4 err=56.750129699707
CG iteration 5 err=15.7282276153564
CG iteration 6 err=6.20315456390381
CG iteration 7 err=4.54276323318481
CG iteration 8 err=3.62369680404663
CG iteration 9 err=2.75383114814758
CG iteration 10 err=1.22379612922668
CG iteration 11 err=0.725388467311859
CG iteration 12 err=0.434447199106216
CG iteration 13 err=0.41445979475975
CG iteration 14 err=0.308699160814285
CG iteration 15 err=0.494592756032944
CG iteration 16 err=0.424592673778534
CG iteration 17 err=0.248880550265312
CG iteration 18 err=0.173170879483223
CG iteration 19 err=0.137050732970238
CG iteration 20 err=0.141149625182152
Processing SIRA-L2: 735.0011 ms
RESULT SIRA-L2 IMAGE=abdomen RADIUS=140 PSNR=37.234828 TIME=0.100000 FILE=SIRA-L2/recon_SIRA-L2_abdomen_140.png
Processing OSSART-TV roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65832519531
iteration 3 err=191.17121887207
iteration 4 err=53.2239952087402
iteration 5 err=9.53464889526367
iteration 6 err=3.79744744300842
iteration 7 err=1.82206737995148
iteration 8 err=2.02975392341614
iteration 9 err=1.67900037765503
iteration 10 err=0.813966929912567
iteration 11 err=0.376374900341034
iteration 12 err=0.244828343391418
iteration 13 err=0.168451607227325
iteration 14 err=0.0963864848017693
iteration 15 err=0.0861815139651299
iteration 16 err=0.0858113840222359
iteration 17 err=0.164551764726639
iteration 18 err=0.0376353226602077
iteration 19 err=0.0358343198895454
iteration 20 err=0.0284963063895702
iter 1 psnr=4.43878693022756 dB
iter 2 psnr=4.45957946762402 dB
iter 3 psnr=4.48026907041039 dB
iter 4 psnr=4.50085927255413 dB
iter 5 psnr=4.52134988083234 dB
iter 6 psnr=4.54174285188566 dB
iter 7 psnr=4.5620337786508 dB
iter 8 psnr=4.58222765763395 dB
iter 9 psnr=4.60232484683199 dB
iter 10 psnr=4.62232442957807 dB
iter 11 psnr=4.64222680184738 dB
iter 12 psnr=4.66203238792102 dB
iter 13 psnr=4.68174208075466 dB
iter 14 psnr=4.70135681000641 dB
iter 15 psnr=4.72088464843012 dB
iter 16 psnr=4.74031643431296 dB
iter 17 psnr=4.75966302540373 dB
iter 18 psnr=4.77891793778807 dB
iter 19 psnr=4.79808363184633 dB
iter 20 psnr=4.81714446597111 dB
iter 21 psnr=4.8361283259586 dB
iter 22 psnr=4.85501413366313 dB
iter 23 psnr=4.87380392250903 dB
iter 24 psnr=4.89251179345773 dB
iter 25 psnr=4.91111127429638 dB
iter 26 psnr=4.92964069659658 dB
iter 27 psnr=4.9480712069469 dB
iter 28 psnr=4.96641013340691 dB
iter 29 psnr=4.98466919391866 dB
iter 30 psnr=5.00280818794301 dB
iter 31 psnr=5.02087572840661 dB
iter 32 psnr=5.03884814313467 dB
iter 33 psnr=5.05671865580791 dB
iter 34 psnr=5.07452520502357 dB
iter 35 psnr=5.0922159004622 dB
iter 36 psnr=5.10985022659536 dB
iter 37 psnr=5.12738428079829 dB
iter 38 psnr=5.14483467178214 dB
iter 39 psnr=5.16219371017342 dB
iter 40 psnr=5.1794570533651 dB
iter 41 psnr=5.1966485523088 dB
iter 42 psnr=5.21375762499284 dB
iter 43 psnr=5.23077303505319 dB
iter 44 psnr=5.24772249462098 dB
iter 45 psnr=5.26456167750123 dB
iter 46 psnr=5.2813415913987 dB
iter 47 psnr=5.29802933578347 dB
iter 48 psnr=5.31462308502335 dB
iter 49 psnr=5.33115933650348 dB
iter 50 psnr=5.34758434071879 dB
iter 51 psnr=5.36392594789213 dB
iter 52 psnr=5.38020210573789 dB
iter 53 psnr=5.39637266880511 dB
iter 54 psnr=5.41247971272328 dB
iter 55 psnr=5.42848937187602 dB
iter 56 psnr=5.44444389065326 dB
iter 57 psnr=5.46030926716325 dB
iter 58 psnr=5.47610333191639 dB
iter 59 psnr=5.49182747945449 dB
iter 60 psnr=5.5074786096678 dB
iter 61 psnr=5.52304797805295 dB
iter 62 psnr=5.5385583578825 dB
iter 63 psnr=5.55398039782355 dB
iter 64 psnr=5.56931187633206 dB
iter 65 psnr=5.58458225213399 dB
iter 66 psnr=5.59975371190999 dB
iter 67 psnr=5.61487986529266 dB
iter 68 psnr=5.62991652182759 dB
iter 69 psnr=5.64489003765932 dB
iter 70 psnr=5.65978469161191 dB
iter 71 psnr=5.67461498187797 dB
iter 72 psnr=5.68935759061397 dB
iter 73 psnr=5.70404542475563 dB
iter 74 psnr=5.7186486966809 dB
iter 75 psnr=5.73319862459563 dB
iter 76 psnr=5.7476630001303 dB
iter 77 psnr=5.76206987273315 dB
iter 78 psnr=5.77638764299207 dB
iter 79 psnr=5.79066271269132 dB
iter 80 psnr=5.8048317978569 dB
iter 81 psnr=5.81895861538673 dB
iter 82 psnr=5.83299985539116 dB
iter 83 psnr=5.84698849712781 dB
iter 84 psnr=5.86089818718484 dB
iter 85 psnr=5.87476943991741 dB
iter 86 psnr=5.88853839804676 dB
iter 87 psnr=5.90227535986939 dB
iter 88 psnr=5.9159231544434 dB
iter 89 psnr=5.92954122685067 dB
iter 90 psnr=5.94304971570858 dB
iter 91 psnr=5.95652744894327 dB
iter 92 psnr=5.96993433509428 dB
iter 93 psnr=5.98327493226479 dB
iter 94 psnr=5.99654760663416 dB
iter 95 psnr=6.00975668759035 dB
iter 96 psnr=6.02288978112414 dB
iter 97 psnr=6.03593735662085 dB
iter 98 psnr=6.04896605830044 dB
iter 99 psnr=6.0618848756144 dB
iter 100 psnr=6.07480917640343 dB
iter 101 psnr=6.08765402122894 dB
iter 102 psnr=6.10044818380394 dB
iter 103 psnr=6.1131754968419 dB
iter 104 psnr=6.12583955670863 dB
iter 105 psnr=6.13844400843385 dB
iter 106 psnr=6.15101230063843 dB
iter 107 psnr=6.16348860033126 dB
iter 108 psnr=6.17594247969891 dB
iter 109 psnr=6.18830390235041 dB
iter 110 psnr=6.20066064531467 dB
iter 111 psnr=6.21292802849513 dB
iter 112 psnr=6.22513847573827 dB
iter 113 psnr=6.23732352447643 dB
iter 114 psnr=6.24940739942633 dB
iter 115 psnr=6.2614847787954 dB
iter 116 psnr=6.27347613812527 dB
iter 117 psnr=6.2854252426672 dB
iter 118 psnr=6.2973195198551 dB
iter 119 psnr=6.3091677113098 dB
iter 120 psnr=6.32095586805915 dB
Processing OSSART-TV: 22405.03 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=12 PSNR=6.332692 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_12.png
Processing OSSART-TV roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.658203125
iteration 3 err=191.171249389648
iteration 4 err=53.2240257263184
iteration 5 err=9.53466987609863
iteration 6 err=3.7985475063324
iteration 7 err=1.92722034454346
iteration 8 err=3.70379424095154
iteration 9 err=1.26431703567505
iteration 10 err=0.778351008892059
iteration 11 err=0.376215815544128
iteration 12 err=0.244827002286911
iteration 13 err=0.168455421924591
iteration 14 err=0.0966978818178177
iteration 15 err=0.134733140468597
iteration 16 err=0.129438921809196
iteration 17 err=0.0715008974075317
iteration 18 err=0.0373081974685192
iteration 19 err=0.0358432233333588
iteration 20 err=0.0287979040294886
iter 1 psnr=6.69315817628967 dB
iter 2 psnr=6.7203546067979 dB
iter 3 psnr=6.74742438642294 dB
iter 4 psnr=6.77437826791972 dB
iter 5 psnr=6.80121898063024 dB
iter 6 psnr=6.82794736677485 dB
iter 7 psnr=6.8545615172283 dB
iter 8 psnr=6.8810667959806 dB
iter 9 psnr=6.90746548417309 dB
iter 10 psnr=6.93375095200957 dB
iter 11 psnr=6.95992303591238 dB
iter 12 psnr=6.98598450821403 dB
iter 13 psnr=7.01193532999578 dB
iter 14 psnr=7.03777256494962 dB
iter 15 psnr=7.0635021015399 dB
iter 16 psnr=7.08912321857704 dB
iter 17 psnr=7.11463649441241 dB
iter 18 psnr=7.14003483096964 dB
iter 19 psnr=7.16532740650536 dB
iter 20 psnr=7.19050758333641 dB
iter 21 psnr=7.21558039736989 dB
iter 22 psnr=7.24054708360967 dB
iter 23 psnr=7.26541114899279 dB
iter 24 psnr=7.29017221544548 dB
iter 25 psnr=7.314825906848 dB
iter 26 psnr=7.33936643190805 dB
iter 27 psnr=7.36381863370848 dB
iter 28 psnr=7.38815023052659 dB
iter 29 psnr=7.41238217290276 dB
iter 30 psnr=7.43649823108196 dB
iter 31 psnr=7.46052528373169 dB
iter 32 psnr=7.48443368450419 dB
iter 33 psnr=7.50825670278593 dB
iter 34 psnr=7.53196307285507 dB
iter 35 psnr=7.5555836926001 dB
iter 36 psnr=7.57908795274004 dB
iter 37 psnr=7.60251001967343 dB
iter 38 psnr=7.62582098365299 dB
iter 39 psnr=7.64904346000507 dB
iter 40 psnr=7.67216030759797 dB
iter 41 psnr=7.6952013587172 dB
iter 42 psnr=7.71812551526862 dB
iter 43 psnr=7.74096970256029 dB
iter 44 psnr=7.76368642321563 dB
iter 45 psnr=7.78632732886757 dB
iter 46 psnr=7.80885104856169 dB
iter 47 psnr=7.83131251003904 dB
iter 48 psnr=7.85366207385398 dB
iter 49 psnr=7.87593452280076 dB
iter 50 psnr=7.89809178283606 dB
iter 51 psnr=7.92017567455271 dB
iter 52 psnr=7.94214267351379 dB
iter 53 psnr=7.96403790697929 dB
iter 54 psnr=7.9858315578709 dB
iter 55 psnr=8.00755769825688 dB
iter 56 psnr=8.02917130159837 dB
iter 57 psnr=8.05072148537127 dB
iter 58 psnr=8.07216021361792 dB
iter 59 psnr=8.0935122955143 dB
iter 60 psnr=8.1147638356634 dB
iter 61 psnr=8.13594009800521 dB
iter 62 psnr=8.15700962874604 dB
iter 63 psnr=8.17800143560944 dB
iter 64 psnr=8.19888266739202 dB
iter 65 psnr=8.21969828891337 dB
iter 66 psnr=8.24040622160768 dB
iter 67 psnr=8.26104861366538 dB
iter 68 psnr=8.28158357850133 dB
iter 69 psnr=8.30205230965801 dB
iter 70 psnr=8.32242184679922 dB
iter 71 psnr=8.34273166537441 dB
iter 72 psnr=8.36294719709432 dB
iter 73 psnr=8.38310039254477 dB
iter 74 psnr=8.40314142666962 dB
iter 75 psnr=8.42312194612576 dB
iter 76 psnr=8.44300389053381 dB
iter 77 psnr=8.46283262499673 dB
iter 78 psnr=8.4825423871838 dB
iter 79 psnr=8.50219251767048 dB
iter 80 psnr=8.52173459439963 dB
iter 81 psnr=8.54121920203201 dB
iter 82 psnr=8.56061063781398 dB
iter 83 psnr=8.57992968040998 dB
iter 84 psnr=8.59915124727036 dB
iter 85 psnr=8.61833519204381 dB
iter 86 psnr=8.63737762415878 dB
iter 87 psnr=8.65637732810812 dB
iter 88 psnr=8.67526277295696 dB
iter 89 psnr=8.69412050165488 dB
iter 90 psnr=8.71284497533707 dB
iter 91 psnr=8.73156042990396 dB
iter 92 psnr=8.75013953196933 dB
iter 93 psnr=8.76869009686492 dB
iter 94 psnr=8.78712392027066 dB
iter 95 psnr=8.80551475499604 dB
iter 96 psnr=8.82380321084149 dB
iter 97 psnr=8.84203371040903 dB
iter 98 psnr=8.86017362269481 dB
iter 99 psnr=8.87825767527729 dB
iter 100 psnr=8.89624079372343 dB
iter 101 psnr=8.91416855084119 dB
iter 102 psnr=8.93202892516149 dB
iter 103 psnr=8.94980938125436 dB
iter 104 psnr=8.96750928543752 dB
iter 105 psnr=8.98515656356491 dB
iter 106 psnr=9.00272292325003 dB
iter 107 psnr=9.02021734514862 dB
iter 108 psnr=9.03764132683565 dB
iter 109 psnr=9.05500874313437 dB
iter 110 psnr=9.07228447367313 dB
iter 111 psnr=9.0895162298874 dB
iter 112 psnr=9.10665021756629 dB
iter 113 psnr=9.12376023436396 dB
iter 114 psnr=9.14074434603887 dB
iter 115 psnr=9.15771931713155 dB
iter 116 psnr=9.1745688892555 dB
iter 117 psnr=9.19140388990604 dB
iter 118 psnr=9.20813336583042 dB
iter 119 psnr=9.22482972039312 dB
iter 120 psnr=9.24142512127253 dB
Processing OSSART-TV: 23145.03 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=16 PSNR=9.258004 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_16.png
Processing OSSART-TV roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.46875
iteration 2 err=1898.65930175781
iteration 3 err=191.171279907227
iteration 4 err=53.2240104675293
iteration 5 err=9.53465557098389
iteration 6 err=3.79769277572632
iteration 7 err=1.8456974029541
iteration 8 err=2.71652626991272
iteration 9 err=1.45665442943573
iteration 10 err=0.788383603096008
iteration 11 err=0.376260161399841
iteration 12 err=0.244827628135681
iteration 13 err=0.168452233076096
iteration 14 err=0.0964227244257927
iteration 15 err=0.0922936722636223
iteration 16 err=0.171727195382118
iteration 17 err=0.0802498087286949
iteration 18 err=0.0373296290636063
iteration 19 err=0.0358349792659283
iteration 20 err=0.0285330154001713
iter 1 psnr=10.1815074517989 dB
iter 2 psnr=10.2229764906719 dB
iter 3 psnr=10.2643386705411 dB
iter 4 psnr=10.3055906457594 dB
iter 5 psnr=10.3467306427418 dB
iter 6 psnr=10.3877601480024 dB
iter 7 psnr=10.4286795900439 dB
iter 8 psnr=10.4694886964385 dB
iter 9 psnr=10.5101839727493 dB
iter 10 psnr=10.5507710961591 dB
iter 11 psnr=10.5912446631078 dB
iter 12 psnr=10.6316047064532 dB
iter 13 psnr=10.6718453422189 dB
iter 14 psnr=10.7119787985596 dB
iter 15 psnr=10.7520034059642 dB
iter 16 psnr=10.7919219500874 dB
iter 17 psnr=10.8317253693614 dB
iter 18 psnr=10.8714079653766 dB
iter 19 psnr=10.9109775615813 dB
iter 20 psnr=10.9504258626337 dB
iter 21 psnr=10.9897619500035 dB
iter 22 psnr=11.028981329235 dB
iter 23 psnr=11.068087446689 dB
iter 24 psnr=11.1070863466435 dB
iter 25 psnr=11.1459714344943 dB
iter 26 psnr=11.1847417756644 dB
iter 27 psnr=11.2234087017018 dB
iter 28 psnr=11.2619549766413 dB
iter 29 psnr=11.300392656526 dB
iter 30 psnr=11.3387318131628 dB
iter 31 psnr=11.3769323779386 dB
iter 32 psnr=11.4150345969205 dB
iter 33 psnr=11.4530127994698 dB
iter 34 psnr=11.4908880088086 dB
iter 35 psnr=11.5286422664816 dB
iter 36 psnr=11.5662935272076 dB
iter 37 psnr=11.603826350342 dB
iter 38 psnr=11.6412592449898 dB
iter 39 psnr=11.6785770165628 dB
iter 40 psnr=11.7157916414599 dB
iter 41 psnr=11.7528921501161 dB
iter 42 psnr=11.7899042683937 dB
iter 43 psnr=11.8268081168736 dB
iter 44 psnr=11.8636001815986 dB
iter 45 psnr=11.9002823289313 dB
iter 46 psnr=11.9368608843761 dB
iter 47 psnr=11.9733436259493 dB
iter 48 psnr=12.0096877574416 dB
iter 49 psnr=12.0459432346671 dB
iter 50 psnr=12.0820746078112 dB
iter 51 psnr=12.1181227054908 dB
iter 52 psnr=12.1540426840087 dB
iter 53 psnr=12.1898645193951 dB
iter 54 psnr=12.2255722154876 dB
iter 55 psnr=12.2611762896294 dB
iter 56 psnr=12.2966717392306 dB
iter 57 psnr=12.3320638670159 dB
iter 58 psnr=12.3673305806749 dB
iter 59 psnr=12.4024978211706 dB
iter 60 psnr=12.4375704948131 dB
iter 61 psnr=12.4725534065864 dB
iter 62 psnr=12.5074256576985 dB
iter 63 psnr=12.5422041042697 dB
iter 64 psnr=12.5768742060812 dB
iter 65 psnr=12.611455634077 dB
iter 66 psnr=12.6459447031168 dB
iter 67 psnr=12.6803410826337 dB
iter 68 psnr=12.7146317568424 dB
iter 69 psnr=12.7488123757014 dB
iter 70 psnr=12.7829180221745 dB
iter 71 psnr=12.8169077837074 dB
iter 72 psnr=12.8507881642618 dB
iter 73 psnr=12.8845730975223 dB
iter 74 psnr=12.9182416704307 dB
iter 75 psnr=12.9518432547426 dB
iter 76 psnr=12.9853031832004 dB
iter 77 psnr=13.0186877408859 dB
iter 78 psnr=13.0519790398084 dB
iter 79 psnr=13.0851879237735 dB
iter 80 psnr=13.1182742597442 dB
iter 81 psnr=13.1512732299222 dB
iter 82 psnr=13.1841774419818 dB
iter 83 psnr=13.216998261247 dB
iter 84 psnr=13.2496984019877 dB
iter 85 psnr=13.2823387310308 dB
iter 86 psnr=13.314837383052 dB
iter 87 psnr=13.3472768865778 dB
iter 88 psnr=13.3795935055613 dB
iter 89 psnr=13.4118230643537 dB
iter 90 psnr=13.4439430824448 dB
iter 91 psnr=13.4759968965376 dB
iter 92 psnr=13.5079201165454 dB
iter 93 psnr=13.5397950642102 dB
iter 94 psnr=13.5715682029104 dB
iter 95 psnr=13.6032511787692 dB
iter 96 psnr=13.6348424189013 dB
iter 97 psnr=13.6663390664543 dB
iter 98 psnr=13.6977119031116 dB
iter 99 psnr=13.7290213309592 dB
iter 100 psnr=13.7602253514946 dB
iter 101 psnr=13.7913844230353 dB
iter 102 psnr=13.8223826882301 dB
iter 103 psnr=13.8533841562603 dB
iter 104 psnr=13.8842097944377 dB
iter 105 psnr=13.9149785652029 dB
iter 106 psnr=13.9456378804749 dB
iter 107 psnr=13.9762630004992 dB
iter 108 psnr=14.0067385832368 dB
iter 109 psnr=14.0371765948851 dB
iter 110 psnr=14.0674694608382 dB
iter 111 psnr=14.0977006390295 dB
iter 112 psnr=14.1278158847091 dB
iter 113 psnr=14.1579408474901 dB
iter 114 psnr=14.1878955008439 dB
iter 115 psnr=14.2178480297278 dB
iter 116 psnr=14.2476117900568 dB
iter 117 psnr=14.2773816830286 dB
iter 118 psnr=14.3070268138525 dB
iter 119 psnr=14.3366262008082 dB
iter 120 psnr=14.3660370669055 dB
Processing OSSART-TV: 25340.04 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=24 PSNR=14.395467 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_24.png
Processing OSSART-TV roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65856933594
iteration 3 err=191.171279907227
iteration 4 err=53.2240219116211
iteration 5 err=9.5346508026123
iteration 6 err=3.79744648933411
iteration 7 err=1.82215142250061
iteration 8 err=2.03281927108765
iteration 9 err=1.67793273925781
iteration 10 err=0.813713371753693
iteration 11 err=0.376373887062073
iteration 12 err=0.244828462600708
iteration 13 err=0.168452009558678
iteration 14 err=0.0963880941271782
iteration 15 err=0.086401529610157
iteration 16 err=0.0933427065610886
iteration 17 err=0.143373563885689
iteration 18 err=0.0375344939529896
iteration 19 err=0.03584049269557
iteration 20 err=0.028678759932518
iter 1 psnr=12.7671838751062 dB
iter 2 psnr=12.8233376804492 dB
iter 3 psnr=12.8794083416263 dB
iter 4 psnr=12.9354138049003 dB
iter 5 psnr=12.9913292938838 dB
iter 6 psnr=13.0471874956482 dB
iter 7 psnr=13.1029632755087 dB
iter 8 psnr=13.1586734162983 dB
iter 9 psnr=13.2143038396956 dB
iter 10 psnr=13.2698652851839 dB
iter 11 psnr=13.3253453410123 dB
iter 12 psnr=13.3807486384311 dB
iter 13 psnr=13.4360788883 dB
iter 14 psnr=13.4913286903881 dB
iter 15 psnr=13.5465109580796 dB
iter 16 psnr=13.6016158741961 dB
iter 17 psnr=13.656653853894 dB
iter 18 psnr=13.7116108747459 dB
iter 19 psnr=13.7664978688908 dB
iter 20 psnr=13.8213071661922 dB
iter 21 psnr=13.876043960465 dB
iter 22 psnr=13.9307037223685 dB
iter 23 psnr=13.9852947650119 dB
iter 24 psnr=14.039808528108 dB
iter 25 psnr=14.0942475630397 dB
iter 26 psnr=14.1486112605304 dB
iter 27 psnr=14.2028986245035 dB
iter 28 psnr=14.2571090687553 dB
iter 29 psnr=14.3112424412689 dB
iter 30 psnr=14.3653052371193 dB
iter 31 psnr=14.4192870894845 dB
iter 32 psnr=14.4731758492886 dB
iter 33 psnr=14.5269954407611 dB
iter 34 psnr=14.5807099960017 dB
iter 35 psnr=14.6343700142535 dB
iter 36 psnr=14.6879287360894 dB
iter 37 psnr=14.7414179053805 dB
iter 38 psnr=14.7948250864667 dB
iter 39 psnr=14.8481518591332 dB
iter 40 psnr=14.9014016545808 dB
iter 41 psnr=14.9545798636633 dB
iter 42 psnr=15.0076662298881 dB
iter 43 psnr=15.0606713611624 dB
iter 44 psnr=15.1135754985874 dB
iter 45 psnr=15.1664183003783 dB
iter 46 psnr=15.2191456948093 dB
iter 47 psnr=15.2718023199721 dB
iter 48 psnr=15.324363289797 dB
iter 49 psnr=15.3768527310629 dB
iter 50 psnr=15.4292336035554 dB
iter 51 psnr=15.481565432543 dB
iter 52 psnr=15.5337790431977 dB
iter 53 psnr=15.5859309572685 dB
iter 54 psnr=15.6379822225225 dB
iter 55 psnr=15.6899707649648 dB
iter 56 psnr=15.74182376149 dB
iter 57 psnr=15.7936592682355 dB
iter 58 psnr=15.8453536488845 dB
iter 59 psnr=15.8969955683209 dB
iter 60 psnr=15.9485189898064 dB
iter 61 psnr=15.9999827250926 dB
iter 62 psnr=16.0513175429759 dB
iter 63 psnr=16.1025773672926 dB
iter 64 psnr=16.1537301482473 dB
iter 65 psnr=16.204756650682 dB
iter 66 psnr=16.2557290654622 dB
iter 67 psnr=16.3065529885653 dB
iter 68 psnr=16.3573370577884 dB
iter 69 psnr=16.4079858979568 dB
iter 70 psnr=16.4585828727497 dB
iter 71 psnr=16.5090624725427 dB
iter 72 psnr=16.5594839820345 dB
iter 73 psnr=16.6097884376398 dB
iter 74 psnr=16.6599872553893 dB
iter 75 psnr=16.7101253840707 dB
iter 76 psnr=16.7601704518228 dB
iter 77 psnr=16.8100931639867 dB
iter 78 psnr=16.8599894200775 dB
iter 79 psnr=16.9096838267713 dB
iter 80 psnr=16.9593753369356 dB
iter 81 psnr=17.0089186770744 dB
iter 82 psnr=17.0583938994627 dB
iter 83 psnr=17.107760106613 dB
iter 84 psnr=17.1570380541046 dB
iter 85 psnr=17.20617603382 dB
iter 86 psnr=17.2552842831399 dB
iter 87 psnr=17.3041949131744 dB
iter 88 psnr=17.3531021598384 dB
iter 89 psnr=17.401829814078 dB
iter 90 psnr=17.4505265949392 dB
iter 91 psnr=17.4990115928435 dB
iter 92 psnr=17.54751812375 dB
iter 93 psnr=17.5957833336324 dB
iter 94 psnr=17.6440706298793 dB
iter 95 psnr=17.692191956907 dB
iter 96 psnr=17.740300271773 dB
iter 97 psnr=17.7881914875211 dB
iter 98 psnr=17.8360856691691 dB
iter 99 psnr=17.8837547157136 dB
iter 100 psnr=17.9314301111385 dB
iter 101 psnr=17.9789443087848 dB
iter 102 psnr=18.0264158614316 dB
iter 103 psnr=18.0736611924619 dB
iter 104 psnr=18.1208978487141 dB
iter 105 psnr=18.1679493911776 dB
iter 106 psnr=18.2149235207096 dB
iter 107 psnr=18.2617462167468 dB
iter 108 psnr=18.3085042462282 dB
iter 109 psnr=18.3550676860529 dB
iter 110 psnr=18.4015636581291 dB
iter 111 psnr=18.4478772531858 dB
iter 112 psnr=18.494165305532 dB
iter 113 psnr=18.5402896081851 dB
iter 114 psnr=18.5863704104895 dB
iter 115 psnr=18.6321812782214 dB
iter 116 psnr=18.6780215364482 dB
iter 117 psnr=18.7236448603338 dB
iter 118 psnr=18.7691620821994 dB
iter 119 psnr=18.8145992083894 dB
iter 120 psnr=18.8598627303474 dB
Processing OSSART-TV: 28300.04 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=32 PSNR=18.904995 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_32.png
Processing OSSART-TV roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65869140625
iteration 3 err=191.171279907227
iteration 4 err=53.2240257263184
iteration 5 err=9.5346622467041
iteration 6 err=3.7976975440979
iteration 7 err=1.84621429443359
iteration 8 err=2.72851991653442
iteration 9 err=1.45360016822815
iteration 10 err=0.78818279504776
iteration 11 err=0.376258969306946
iteration 12 err=0.244827151298523
iteration 13 err=0.168451979756355
iteration 14 err=0.0964320525527
iteration 15 err=0.0939006730914116
iteration 16 err=0.175492018461227
iteration 17 err=0.0783142223954201
iteration 18 err=0.0373250916600227
iteration 19 err=0.0358520373702049
iteration 20 err=0.0290635712444782
iter 1 psnr=17.2906605187721 dB
iter 2 psnr=17.3817688340143 dB
iter 3 psnr=17.4730305857622 dB
iter 4 psnr=17.5644358819365 dB
iter 5 psnr=17.6560027918184 dB
iter 6 psnr=17.7477268715929 dB
iter 7 psnr=17.8396040429405 dB
iter 8 psnr=17.9316109990059 dB
iter 9 psnr=18.0237831354479 dB
iter 10 psnr=18.1160801287651 dB
iter 11 psnr=18.2085396900737 dB
iter 12 psnr=18.3011205899106 dB
iter 13 psnr=18.3938558081638 dB
iter 14 psnr=18.4867115673667 dB
iter 15 psnr=18.5797244098495 dB
iter 16 psnr=18.6728427997093 dB
iter 17 psnr=18.7661137303289 dB
iter 18 psnr=18.8594941071777 dB
iter 19 psnr=18.9529988654484 dB
iter 20 psnr=19.046612145853 dB
iter 21 psnr=19.1403564467669 dB
iter 22 psnr=19.2341927236564 dB
iter 23 psnr=19.3281588568822 dB
iter 24 psnr=19.4222036631726 dB
iter 25 psnr=19.5163877539624 dB
iter 26 psnr=19.6106340727877 dB
iter 27 psnr=19.7049883283962 dB
iter 28 psnr=19.7994183409622 dB
iter 29 psnr=19.893958695819 dB
iter 30 psnr=19.988560032017 dB
iter 31 psnr=20.0832342935812 dB
iter 32 psnr=20.1779819489721 dB
iter 33 psnr=20.272750623781 dB
iter 34 psnr=20.367609363313 dB
iter 35 psnr=20.4624777252347 dB
iter 36 psnr=20.5574010549196 dB
iter 37 psnr=20.6523220982592 dB
iter 38 psnr=20.7473013827468 dB
iter 39 psnr=20.8422466572934 dB
iter 40 psnr=20.9371931964091 dB
iter 41 psnr=21.0321151210214 dB
iter 42 psnr=21.1270043140932 dB
iter 43 psnr=21.2218503174049 dB
iter 44 psnr=21.3166518828618 dB
iter 45 psnr=21.4113729657216 dB
iter 46 psnr=21.5060474859707 dB
iter 47 psnr=21.6005777595388 dB
iter 48 psnr=21.6950578000883 dB
iter 49 psnr=21.789341807233 dB
iter 50 psnr=21.8835312451054 dB
iter 51 psnr=21.9774460473766 dB
iter 52 psnr=22.0712986699711 dB
iter 53 psnr=22.1648038307971 dB
iter 54 psnr=22.2582548207873 dB
iter 55 psnr=22.3513559617845 dB
iter 56 psnr=22.4443195073213 dB
iter 57 psnr=22.5368777510106 dB
iter 58 psnr=22.6292763043349 dB
iter 59 psnr=22.7212602944535 dB
iter 60 psnr=22.8130473036697 dB
iter 61 psnr=22.9042729685684 dB
iter 62 psnr=22.9952872938732 dB
iter 63 psnr=23.0857526274586 dB
iter 64 psnr=23.1759164395371 dB
iter 65 psnr=23.2654392177936 dB
iter 66 psnr=23.354739074353 dB
iter 67 psnr=23.4432173641005 dB
iter 68 psnr=23.5314191391359 dB
iter 69 psnr=23.6188338354154 dB
iter 70 psnr=23.7057690016765 dB
iter 71 psnr=23.7919463865112 dB
iter 72 psnr=23.8775417644977 dB
iter 73 psnr=23.9623230499946 dB
iter 74 psnr=24.0464348402479 dB
iter 75 psnr=24.1296494817434 dB
iter 76 psnr=24.2121932151696 dB
iter 77 psnr=24.293705521175 dB
iter 78 psnr=24.3743855119896 dB
iter 79 psnr=24.4540696077123 dB
iter 80 psnr=24.5328997611871 dB
iter 81 psnr=24.6106739316756 dB
iter 82 psnr=24.6874141241997 dB
iter 83 psnr=24.7630651951836 dB
iter 84 psnr=24.8375521488652 dB
iter 85 psnr=24.9108911780914 dB
iter 86 psnr=24.9830116621226 dB
iter 87 psnr=25.0539561109391 dB
iter 88 psnr=25.1235207775992 dB
iter 89 psnr=25.1918725028115 dB
iter 90 psnr=25.2588476123006 dB
iter 91 psnr=25.3243693220074 dB
iter 92 psnr=25.3886040007841 dB
iter 93 psnr=25.4511427331398 dB
iter 94 psnr=25.5124952394723 dB
iter 95 psnr=25.572140773944 dB
iter 96 psnr=25.630175409512 dB
iter 97 psnr=25.6865570827331 dB
iter 98 psnr=25.7413733972223 dB
iter 99 psnr=25.7945180669843 dB
iter 100 psnr=25.8459367873323 dB
iter 101 psnr=25.8956244189104 dB
iter 102 psnr=25.9435008519746 dB
iter 103 psnr=25.9895215886844 dB
iter 104 psnr=26.033621453781 dB
iter 105 psnr=26.0761738157441 dB
iter 106 psnr=26.1165663943319 dB
iter 107 psnr=26.1553052785025 dB
iter 108 psnr=26.1919528717514 dB
iter 109 psnr=26.2269341242796 dB
iter 110 psnr=26.2598741636348 dB
iter 111 psnr=26.2909431592618 dB
iter 112 psnr=26.3199790809243 dB
iter 113 psnr=26.3473363079838 dB
iter 114 psnr=26.3723334474237 dB
iter 115 psnr=26.3958111331209 dB
iter 116 psnr=26.4170622207507 dB
iter 117 psnr=26.4365971178454 dB
iter 118 psnr=26.4539676129815 dB
iter 119 psnr=26.4695565190855 dB
iter 120 psnr=26.4831694301936 dB
Processing OSSART-TV: 32725.05 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=48 PSNR=26.494964 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_48.png
Processing OSSART-TV roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65832519531
iteration 3 err=191.171157836914
iteration 4 err=53.2239532470703
iteration 5 err=9.53464603424072
iteration 6 err=3.797691822052
iteration 7 err=1.84614372253418
iteration 8 err=2.72691583633423
iteration 9 err=1.4540079832077
iteration 10 err=0.7882080078125
iteration 11 err=0.376259386539459
iteration 12 err=0.244827806949615
iteration 13 err=0.168452933430672
iteration 14 err=0.0964582711458206
iteration 15 err=0.0981527790427208
iteration 16 err=0.17569026350975
iteration 17 err=0.075559988617897
iteration 18 err=0.0373181737959385
iteration 19 err=0.0358353033661842
iteration 20 err=0.0285386499017477
iter 1 psnr=20.7907219346491 dB
iter 2 psnr=20.9225740129126 dB
iter 3 psnr=21.0549861093433 dB
iter 4 psnr=21.1879478418612 dB
iter 5 psnr=21.3214442710462 dB
iter 6 psnr=21.4554743257531 dB
iter 7 psnr=21.5900245902765 dB
iter 8 psnr=21.7250964207223 dB
iter 9 psnr=21.8606579294118 dB
iter 10 psnr=21.9966972812738 dB
iter 11 psnr=22.1331972093231 dB
iter 12 psnr=22.2701671816352 dB
iter 13 psnr=22.4075333377933 dB
iter 14 psnr=22.5453267238295 dB
iter 15 psnr=22.683490734375 dB
iter 16 psnr=22.8220063307061 dB
iter 17 psnr=22.9608397284866 dB
iter 18 psnr=23.0999396175399 dB
iter 19 psnr=23.2392949934519 dB
iter 20 psnr=23.3788585660871 dB
iter 21 psnr=23.5185758147154 dB
iter 22 psnr=23.6584441722546 dB
iter 23 psnr=23.7983362401054 dB
iter 24 psnr=23.9383219161576 dB
iter 25 psnr=24.0782169673379 dB
iter 26 psnr=24.2180298414123 dB
iter 27 psnr=24.3576544352723 dB
iter 28 psnr=24.4969893389145 dB
iter 29 psnr=24.6360412154097 dB
iter 30 psnr=24.7747044810514 dB
iter 31 psnr=24.9128021337236 dB
iter 32 psnr=25.0503801783209 dB
iter 33 psnr=25.1872055570451 dB
iter 34 psnr=25.3232459872259 dB
iter 35 psnr=25.4583456426908 dB
iter 36 psnr=25.5924026674387 dB
iter 37 psnr=25.7252277578138 dB
iter 38 psnr=25.8568417087426 dB
iter 39 psnr=25.9869395633911 dB
iter 40 psnr=26.1155642394452 dB
iter 41 psnr=26.2423219695363 dB
iter 42 psnr=26.367264515037 dB
iter 43 psnr=26.4900711189494 dB
iter 44 psnr=26.610686673617 dB
iter 45 psnr=26.7288335881471 dB
iter 46 psnr=26.844491457052 dB
iter 47 psnr=26.9573233702006 dB
iter 48 psnr=27.0672589027596 dB
iter 49 psnr=27.1739810783175 dB
iter 50 psnr=27.2774436386767 dB
iter 51 psnr=27.3773594815673 dB
iter 52 psnr=27.4737214569872 dB
iter 53 psnr=27.5660460649016 dB
iter 54 psnr=27.6544740516018 dB
iter 55 psnr=27.7385864674306 dB
iter 56 psnr=27.8185483840171 dB
iter 57 psnr=27.893798937382 dB
iter 58 psnr=27.9646152642827 dB
iter 59 psnr=28.0305493630397 dB
iter 60 psnr=28.0917151489445 dB
iter 61 psnr=28.1477742242213 dB
iter 62 psnr=28.1989296692027 dB
iter 63 psnr=28.2448080270074 dB
iter 64 psnr=28.2856225484255 dB
iter 65 psnr=28.321059031637 dB
iter 66 psnr=28.3515712100279 dB
iter 67 psnr=28.3767393173236 dB
iter 68 psnr=28.3966522350949 dB
iter 69 psnr=28.4115571712899 dB
iter 70 psnr=28.4213248893245 dB
iter 71 psnr=28.4260314558169 dB
iter 72 psnr=28.4258973332019 dB
iter 73 psnr=28.4207318476274 dB
iter 74 psnr=28.4111860067497 dB
iter 75 psnr=28.3968778275309 dB
iter 76 psnr=28.3781991675769 dB
iter 77 psnr=28.3552450780523 dB
iter 78 psnr=28.3282840580532 dB
iter 79 psnr=28.2972439022004 dB
iter 80 psnr=28.2624455950706 dB
iter 81 psnr=28.2240467132977 dB
iter 82 psnr=28.1822813749284 dB
iter 83 psnr=28.1372704189902 dB
iter 84 psnr=28.0892441113846 dB
iter 85 psnr=28.0382840967927 dB
iter 86 psnr=27.984659044057 dB
iter 87 psnr=27.9284371813654 dB
iter 88 psnr=27.8700314756751 dB
iter 89 psnr=27.8092794871786 dB
iter 90 psnr=27.7467889581795 dB
iter 91 psnr=27.6821792192655 dB
iter 92 psnr=27.6160449546361 dB
iter 93 psnr=27.5482204657408 dB
iter 94 psnr=27.4791116467513 dB
iter 95 psnr=27.4086136336747 dB
iter 96 psnr=27.3371546670877 dB
iter 97 psnr=27.2644098202342 dB
iter 98 psnr=27.1911169838345 dB
iter 99 psnr=27.1167209527488 dB
iter 100 psnr=27.0418459539779 dB
iter 101 psnr=26.9662563665841 dB
iter 102 psnr=26.890269193098 dB
iter 103 psnr=26.8137852317667 dB
iter 104 psnr=26.7370440544129 dB
iter 105 psnr=26.6599045464854 dB
iter 106 psnr=26.5827842324943 dB
iter 107 psnr=26.505390626474 dB
iter 108 psnr=26.4280593356338 dB
iter 109 psnr=26.3505570423376 dB
iter 110 psnr=26.2733325396271 dB
iter 111 psnr=26.1961629364482 dB
iter 112 psnr=26.1191258823348 dB
iter 113 psnr=26.0422652273568 dB
iter 114 psnr=25.9656691262413 dB
iter 115 psnr=25.8892820846608 dB
iter 116 psnr=25.8132873609512 dB
iter 117 psnr=25.7375917453805 dB
iter 118 psnr=25.6622743291502 dB
iter 119 psnr=25.5873621968062 dB
iter 120 psnr=25.5128950351874 dB
Processing OSSART-TV: 32715.05 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=64 PSNR=25.438839 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_64.png
Processing OSSART-TV roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65771484375
iteration 3 err=191.171096801758
iteration 4 err=53.2239723205566
iteration 5 err=9.53466701507568
iteration 6 err=3.79911327362061
iteration 7 err=1.98129308223724
iteration 8 err=3.86066627502441
iteration 9 err=1.22894620895386
iteration 10 err=0.776919484138489
iteration 11 err=0.376209050416946
iteration 12 err=0.244826957583427
iteration 13 err=0.168462529778481
iteration 14 err=0.0972083210945129
iteration 15 err=0.196769684553146
iteration 16 err=0.100373901426792
iteration 17 err=0.0707125887274742
iteration 18 err=0.0373063310980797
iteration 19 err=0.0358355529606342
iteration 20 err=0.0285587795078754
iter 1 psnr=24.3543734886005 dB
iter 2 psnr=24.5423715283622 dB
iter 3 psnr=24.7314899851997 dB
iter 4 psnr=24.9216237887237 dB
iter 5 psnr=25.1127270718514 dB
iter 6 psnr=25.3046792749475 dB
iter 7 psnr=25.4974180230151 dB
iter 8 psnr=25.6907893606473 dB
iter 9 psnr=25.8846927038488 dB
iter 10 psnr=26.0789465382049 dB
iter 11 psnr=26.273447635603 dB
iter 12 psnr=26.4679308843711 dB
iter 13 psnr=26.6622403637856 dB
iter 14 psnr=26.8560917599304 dB
iter 15 psnr=27.0492602731015 dB
iter 16 psnr=27.2414311586948 dB
iter 17 psnr=27.4323307071543 dB
iter 18 psnr=27.6215451092591 dB
iter 19 psnr=27.8087189131528 dB
iter 20 psnr=27.9934582749879 dB
iter 21 psnr=28.1753194184411 dB
iter 22 psnr=28.3538252127547 dB
iter 23 psnr=28.5284148018181 dB
iter 24 psnr=28.6985792212499 dB
iter 25 psnr=28.8637812110408 dB
iter 26 psnr=29.0234206464243 dB
iter 27 psnr=29.1769293389905 dB
iter 28 psnr=29.3236554381754 dB
iter 29 psnr=29.4631176223575 dB
iter 30 psnr=29.5945080868259 dB
iter 31 psnr=29.7174247504317 dB
iter 32 psnr=29.8311169950567 dB
iter 33 psnr=29.935206025172 dB
iter 34 psnr=30.0290701414793 dB
iter 35 psnr=30.1123817329925 dB
iter 36 psnr=30.1846141468881 dB
iter 37 psnr=30.2456937938108 dB
iter 38 psnr=30.2951512639536 dB
iter 39 psnr=30.3330303397969 dB
iter 40 psnr=30.3593243586843 dB
iter 41 psnr=30.3739493477343 dB
iter 42 psnr=30.3773043052879 dB
iter 43 psnr=30.3692829880299 dB
iter 44 psnr=30.3504745364231 dB
iter 45 psnr=30.3212561010179 dB
iter 46 psnr=30.2819929287603 dB
iter 47 psnr=30.2331253988198 dB
iter 48 psnr=30.1754745991557 dB
iter 49 psnr=30.1092585484482 dB
iter 50 psnr=30.0354584492079 dB
iter 51 psnr=29.9543048629567 dB
iter 52 psnr=29.8667987928966 dB
iter 53 psnr=29.7731960011475 dB
iter 54 psnr=29.6743781000124 dB
iter 55 psnr=29.5706769458044 dB
iter 56 psnr=29.4629316009178 dB
iter 57 psnr=29.3514179528774 dB
iter 58 psnr=29.2367801332599 dB
iter 59 psnr=29.1193363446703 dB
iter 60 psnr=28.9996912922414 dB
iter 61 psnr=28.8781822242451 dB
iter 62 psnr=28.7552068623454 dB
iter 63 psnr=28.6309715868479 dB
iter 64 psnr=28.5059286111466 dB
iter 65 psnr=28.3802233703965 dB
iter 66 psnr=28.2542733486273 dB
iter 67 psnr=28.1281880803872 dB
iter 68 psnr=28.0023432592889 dB
iter 69 psnr=27.8766733009822 dB
iter 70 psnr=27.7514555206924 dB
iter 71 psnr=27.6268223830699 dB
iter 72 psnr=27.5029355123398 dB
iter 73 psnr=27.3798487515308 dB
iter 74 psnr=27.2577044839612 dB
iter 75 psnr=27.1365641757118 dB
iter 76 psnr=27.0164868735763 dB
iter 77 psnr=26.8975545358013 dB
iter 78 psnr=26.7797687475214 dB
iter 79 psnr=26.6632314249149 dB
iter 80 psnr=26.5479169668218 dB
iter 81 psnr=26.4339853322744 dB
iter 82 psnr=26.3213089140266 dB
iter 83 psnr=26.2100951589944 dB
iter 84 psnr=26.1000722737754 dB
iter 85 psnr=25.9916468009526 dB
iter 86 psnr=25.8844227063409 dB
iter 87 psnr=25.7786518993015 dB
iter 88 psnr=25.6741555101251 dB
iter 89 psnr=25.5711208292571 dB
iter 90 psnr=25.4693912914619 dB
iter 91 psnr=25.3690482926379 dB
iter 92 psnr=25.2700023037488 dB
iter 93 psnr=25.1723012121286 dB
iter 94 psnr=25.075970945109 dB
iter 95 psnr=24.9809357026176 dB
iter 96 psnr=24.8871567345538 dB
iter 97 psnr=24.7947694545308 dB
iter 98 psnr=24.7035313468604 dB
iter 99 psnr=24.6135644409454 dB
iter 100 psnr=24.5248076597739 dB
iter 101 psnr=24.4372871239839 dB
iter 102 psnr=24.3509168736215 dB
iter 103 psnr=24.2657666476396 dB
iter 104 psnr=24.1817291886758 dB
iter 105 psnr=24.0988999330121 dB
iter 106 psnr=24.0171542919409 dB
iter 107 psnr=23.9364727338542 dB
iter 108 psnr=23.8569221853987 dB
iter 109 psnr=23.7784139682482 dB
iter 110 psnr=23.7009562051132 dB
iter 111 psnr=23.6245530138283 dB
iter 112 psnr=23.5491221970365 dB
iter 113 psnr=23.4747335545113 dB
iter 114 psnr=23.4012913747198 dB
iter 115 psnr=23.3288457671143 dB
iter 116 psnr=23.2572838400188 dB
iter 117 psnr=23.1867014758639 dB
iter 118 psnr=23.116961372218 dB
iter 119 psnr=23.0481622419796 dB
iter 120 psnr=22.9802188018969 dB
Processing OSSART-TV: 32780.04 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=80 PSNR=22.913160 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_80.png
Processing OSSART-TV roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.6572265625
iteration 3 err=191.171096801758
iteration 4 err=53.2239456176758
iteration 5 err=9.5346622467041
iteration 6 err=3.79908466339111
iteration 7 err=1.97882032394409
iteration 8 err=3.85747790336609
iteration 9 err=1.23010885715485
iteration 10 err=0.776964008808136
iteration 11 err=0.3762087225914
iteration 12 err=0.244826525449753
iteration 13 err=0.168463334441185
iteration 14 err=0.0973144993185997
iteration 15 err=0.207520887255669
iteration 16 err=0.0977878347039223
iteration 17 err=0.0706562027335167
iteration 18 err=0.037305936217308
iteration 19 err=0.0358400158584118
iteration 20 err=0.0287160575389862
iter 1 psnr=28.1422255161181 dB
iter 2 psnr=28.4106037603183 dB
iter 3 psnr=28.6800710967045 dB
iter 4 psnr=28.9499757699003 dB
iter 5 psnr=29.2198259401357 dB
iter 6 psnr=29.4888199892327 dB
iter 7 psnr=29.7561659243839 dB
iter 8 psnr=30.0209246811346 dB
iter 9 psnr=30.2819979185103 dB
iter 10 psnr=30.5380352804053 dB
iter 11 psnr=30.7878208810416 dB
iter 12 psnr=31.0296185641265 dB
iter 13 psnr=31.2619614294854 dB
iter 14 psnr=31.4828347457178 dB
iter 15 psnr=31.6905603878613 dB
iter 16 psnr=31.8829988272044 dB
iter 17 psnr=32.058515412649 dB
iter 18 psnr=32.2149425436289 dB
iter 19 psnr=32.3506887717635 dB
iter 20 psnr=32.4641997514562 dB
iter 21 psnr=32.5543279388228 dB
iter 22 psnr=32.6201588716134 dB
iter 23 psnr=32.6612966656014 dB
iter 24 psnr=32.6775664255686 dB
iter 25 psnr=32.6694602474298 dB
iter 26 psnr=32.6374235518355 dB
iter 27 psnr=32.5828379219607 dB
iter 28 psnr=32.5068120233085 dB
iter 29 psnr=32.4114058276919 dB
iter 30 psnr=32.2980312895566 dB
iter 31 psnr=32.1688524337771 dB
iter 32 psnr=32.0256153047485 dB
iter 33 psnr=31.8703457404189 dB
iter 34 psnr=31.7046622095614 dB
iter 35 psnr=31.5306326893006 dB
iter 36 psnr=31.3495046405624 dB
iter 37 psnr=31.1630546853227 dB
iter 38 psnr=30.9722229046422 dB
iter 39 psnr=30.7786257245883 dB
iter 40 psnr=30.5828013097986 dB
iter 41 psnr=30.3860579180919 dB
iter 42 psnr=30.1887944088338 dB
iter 43 psnr=29.9920230707267 dB
iter 44 psnr=29.7959408609877 dB
iter 45 psnr=29.6014451314286 dB
iter 46 psnr=29.4083966734466 dB
iter 47 psnr=29.2175981417806 dB
iter 48 psnr=29.0289633678806 dB
iter 49 psnr=28.8429429030291 dB
iter 50 psnr=28.6594968107564 dB
iter 51 psnr=28.4790165627018 dB
iter 52 psnr=28.301187822823 dB
iter 53 psnr=28.126515042977 dB
iter 54 psnr=27.9547625503512 dB
iter 55 psnr=27.7860154623744 dB
iter 56 psnr=27.6203305488614 dB
iter 57 psnr=27.4576547520864 dB
iter 58 psnr=27.297985003841 dB
iter 59 psnr=27.1413318133824 dB
iter 60 psnr=26.987618635294 dB
iter 61 psnr=26.836811393326 dB
iter 62 psnr=26.6889152280732 dB
iter 63 psnr=26.5437792377296 dB
iter 64 psnr=26.4014540115017 dB
iter 65 psnr=26.2618588808437 dB
iter 66 psnr=26.1248836215818 dB
iter 67 psnr=25.9905102225198 dB
iter 68 psnr=25.8587436164075 dB
iter 69 psnr=25.7293938358622 dB
iter 70 psnr=25.6025184956797 dB
iter 71 psnr=25.4779894075234 dB
iter 72 psnr=25.3558462060182 dB
iter 73 psnr=25.2358976577749 dB
iter 74 psnr=25.1182527587481 dB
iter 75 psnr=25.0026507797969 dB
iter 76 psnr=24.8892591891186 dB
iter 77 psnr=24.7778295486893 dB
iter 78 psnr=24.6684762825794 dB
iter 79 psnr=24.5610128387928 dB
iter 80 psnr=24.4555370256452 dB
iter 81 psnr=24.3518402826817 dB
iter 82 psnr=24.2499740470054 dB
iter 83 psnr=24.14986418272 dB
iter 84 psnr=24.051483067994 dB
iter 85 psnr=23.9547852396491 dB
iter 86 psnr=23.8597241400442 dB
iter 87 psnr=23.7662613092583 dB
iter 88 psnr=23.6743270126856 dB
iter 89 psnr=23.5839464045092 dB
iter 90 psnr=23.4949989869556 dB
iter 91 psnr=23.4075567583091 dB
iter 92 psnr=23.3215000755513 dB
iter 93 psnr=23.2368496828821 dB
iter 94 psnr=23.1535210305389 dB
iter 95 psnr=23.0715608646849 dB
iter 96 psnr=22.9908698960122 dB
iter 97 psnr=22.9114488561372 dB
iter 98 psnr=22.8332487694333 dB
iter 99 psnr=22.7562344208793 dB
iter 100 psnr=22.6804086359794 dB
iter 101 psnr=22.6057053730739 dB
iter 102 psnr=22.5321302538046 dB
iter 103 psnr=22.4596668872929 dB
iter 104 psnr=22.3882462030747 dB
iter 105 psnr=22.3179112991368 dB
iter 106 psnr=22.2485634738121 dB
iter 107 psnr=22.1802387692929 dB
iter 108 psnr=22.1128812517013 dB
iter 109 psnr=22.046493536859 dB
iter 110 psnr=21.9810206244738 dB
iter 111 psnr=21.9164778315343 dB
iter 112 psnr=21.8528136761737 dB
iter 113 psnr=21.7900493001119 dB
iter 114 psnr=21.7281120537002 dB
iter 115 psnr=21.6670544478578 dB
iter 116 psnr=21.6067950526416 dB
iter 117 psnr=21.5473665430578 dB
iter 118 psnr=21.4887238592074 dB
iter 119 psnr=21.4308678899311 dB
iter 120 psnr=21.3737669010146 dB
Processing OSSART-TV: 32880.04 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=96 PSNR=21.317405 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_96.png
Processing OSSART-TV roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65930175781
iteration 3 err=191.171340942383
iteration 4 err=53.2240180969238
iteration 5 err=9.53465270996094
iteration 6 err=3.797687292099
iteration 7 err=1.84554266929626
iteration 8 err=2.71295404434204
iteration 9 err=1.45756638050079
iteration 10 err=0.788442611694336
iteration 11 err=0.376259803771973
iteration 12 err=0.24482698738575
iteration 13 err=0.16845166683197
iteration 14 err=0.0964146181941032
iteration 15 err=0.0909609645605087
iteration 16 err=0.165584236383438
iteration 17 err=0.0827132612466812
iteration 18 err=0.0373359955847263
iteration 19 err=0.0358338579535484
iteration 20 err=0.0284910295158625
iter 1 psnr=31.4494024409545 dB
iter 2 psnr=31.6208401320592 dB
iter 3 psnr=31.7699146102539 dB
iter 4 psnr=31.8948008085675 dB
iter 5 psnr=31.9940412772107 dB
iter 6 psnr=32.0664836309261 dB
iter 7 psnr=32.1115827193406 dB
iter 8 psnr=32.1291970346668 dB
iter 9 psnr=32.1197614362654 dB
iter 10 psnr=32.0841241257721 dB
iter 11 psnr=32.02370403324 dB
iter 12 psnr=31.9401226899421 dB
iter 13 psnr=31.8354153433401 dB
iter 14 psnr=31.711629589243 dB
iter 15 psnr=31.5710559755389 dB
iter 16 psnr=31.4158840995727 dB
iter 17 psnr=31.2483300200736 dB
iter 18 psnr=31.0703703298014 dB
iter 19 psnr=30.8839981843268 dB
iter 20 psnr=30.6909168488655 dB
iter 21 psnr=30.4927907852935 dB
iter 22 psnr=30.2908882681779 dB
iter 23 psnr=30.0865348469611 dB
iter 24 psnr=29.8807650982706 dB
iter 25 psnr=29.6745090268859 dB
iter 26 psnr=29.4685687208449 dB
iter 27 psnr=29.2635445426412 dB
iter 28 psnr=29.0599895885491 dB
iter 29 psnr=28.8583609050332 dB
iter 30 psnr=28.6590257948845 dB
iter 31 psnr=28.4622432027552 dB
iter 32 psnr=28.2683374176335 dB
iter 33 psnr=28.0773895118457 dB
iter 34 psnr=27.8895621758436 dB
iter 35 psnr=27.7049406159774 dB
iter 36 psnr=27.5236411180776 dB
iter 37 psnr=27.3456827870759 dB
iter 38 psnr=27.1710516257373 dB
iter 39 psnr=26.9998301355864 dB
iter 40 psnr=26.8319074980392 dB
iter 41 psnr=26.6673295837362 dB
iter 42 psnr=26.5059830082954 dB
iter 43 psnr=26.347899370411 dB
iter 44 psnr=26.1929550025661 dB
iter 45 psnr=26.0412094484009 dB
iter 46 psnr=25.8924596291466 dB
iter 47 psnr=25.746776037398 dB
iter 48 psnr=25.6039622462014 dB
iter 49 psnr=25.4641008171687 dB
iter 50 psnr=25.3269727238245 dB
iter 51 psnr=25.1926693264575 dB
iter 52 psnr=25.0609509829012 dB
iter 53 psnr=24.9319253035375 dB
iter 54 psnr=24.8053842551583 dB
iter 55 psnr=24.6814057167401 dB
iter 56 psnr=24.5597389518347 dB
iter 57 psnr=24.4405401129199 dB
iter 58 psnr=24.3235630536742 dB
iter 59 psnr=24.2088982063426 dB
iter 60 psnr=24.0963556360604 dB
iter 61 psnr=23.9859942908565 dB
iter 62 psnr=23.8776728091033 dB
iter 63 psnr=23.7713983890835 dB
iter 64 psnr=23.6670408794651 dB
iter 65 psnr=23.5646120261344 dB
iter 66 psnr=23.4640276661162 dB
iter 67 psnr=23.3652958042886 dB
iter 68 psnr=23.2683032919291 dB
iter 69 psnr=23.1730868376756 dB
iter 70 psnr=23.0794816481987 dB
iter 71 psnr=22.9875722472356 dB
iter 72 psnr=22.8971991160521 dB
iter 73 psnr=22.8084623819888 dB
iter 74 psnr=22.721156037134 dB
iter 75 psnr=22.6353926643582 dB
iter 76 psnr=22.5510277204685 dB
iter 77 psnr=22.4681235684142 dB
iter 78 psnr=22.3865201488123 dB
iter 79 psnr=22.3063191745563 dB
iter 80 psnr=22.2273790245832 dB
iter 81 psnr=22.1497613784501 dB
iter 82 psnr=22.0733368868003 dB
iter 83 psnr=21.9981880703813 dB
iter 84 psnr=21.9242087251607 dB
iter 85 psnr=21.8514008435849 dB
iter 86 psnr=21.7797265315715 dB
iter 87 psnr=21.7091645392651 dB
iter 88 psnr=21.6396876186916 dB
iter 89 psnr=21.5712906751139 dB
iter 90 psnr=21.5039073973228 dB
iter 91 psnr=21.4375679587127 dB
iter 92 psnr=21.3721857844001 dB
iter 93 psnr=21.3078153361554 dB
iter 94 psnr=21.2443618020988 dB
iter 95 psnr=21.1818594548371 dB
iter 96 psnr=21.1202515199335 dB
iter 97 psnr=21.0595499043039 dB
iter 98 psnr=20.9997112220882 dB
iter 99 psnr=20.9407256897182 dB
iter 100 psnr=20.8825875257222 dB
iter 101 psnr=20.8252707894631 dB
iter 102 psnr=20.7687438779318 dB
iter 103 psnr=20.7130071185557 dB
iter 104 psnr=20.6580432576061 dB
iter 105 psnr=20.6038223987895 dB
iter 106 psnr=20.5503602098918 dB
iter 107 psnr=20.4976022912928 dB
iter 108 psnr=20.4455657976654 dB
iter 109 psnr=20.394217128209 dB
iter 110 psnr=20.3435638233475 dB
iter 111 psnr=20.2935697848743 dB
iter 112 psnr=20.2442329993646 dB
iter 113 psnr=20.1955438820108 dB
iter 114 psnr=20.1474934050272 dB
iter 115 psnr=20.1000446919224 dB
iter 116 psnr=20.053217185651 dB
iter 117 psnr=20.0069743492602 dB
iter 118 psnr=19.9613307039181 dB
iter 119 psnr=19.9162469209616 dB
iter 120 psnr=19.8717430288458 dB
Processing OSSART-TV: 32740.04 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=128 PSNR=19.827770 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_128.png
Processing OSSART-TV roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65869140625
iteration 3 err=191.171295166016
iteration 4 err=53.2240257263184
iteration 5 err=9.53465366363525
iteration 6 err=3.79744982719421
iteration 7 err=1.82220482826233
iteration 8 err=2.03460931777954
iteration 9 err=1.67731773853302
iteration 10 err=0.813568234443665
iteration 11 err=0.376373887062073
iteration 12 err=0.244828999042511
iteration 13 err=0.168452233076096
iteration 14 err=0.096385695040226
iteration 15 err=0.0859764888882637
iteration 16 err=0.0781598165631294
iteration 17 err=0.197123631834984
iteration 18 err=0.0378700979053974
iteration 19 err=0.0358496308326721
iteration 20 err=0.0289311353117228
iter 1 psnr=32.1413519827953 dB
iter 2 psnr=32.2137240894408 dB
iter 3 psnr=32.2558895639256 dB
iter 4 psnr=32.267845451507 dB
iter 5 psnr=32.2501302615028 dB
iter 6 psnr=32.2039677406378 dB
iter 7 psnr=32.1309106521137 dB
iter 8 psnr=32.0331661015638 dB
iter 9 psnr=31.9130039320495 dB
iter 10 psnr=31.7730659042489 dB
iter 11 psnr=31.6158187794356 dB
iter 12 psnr=31.4439259012641 dB
iter 13 psnr=31.2597655134617 dB
iter 14 psnr=31.0656866422942 dB
iter 15 psnr=30.8637082304662 dB
iter 16 psnr=30.6557549330014 dB
iter 17 psnr=30.443421659156 dB
iter 18 psnr=30.2281949744603 dB
iter 19 psnr=30.0112947494828 dB
iter 20 psnr=29.7938515690354 dB
iter 21 psnr=29.5767091325736 dB
iter 22 psnr=29.3606263684721 dB
iter 23 psnr=29.1462178825061 dB
iter 24 psnr=28.9339783467851 dB
iter 25 psnr=28.7243460744723 dB
iter 26 psnr=28.5176472157309 dB
iter 27 psnr=28.3140811119805 dB
iter 28 psnr=28.113903463378 dB
iter 29 psnr=27.9171885306754 dB
iter 30 psnr=27.7240673828338 dB
iter 31 psnr=27.53460942558 dB
iter 32 psnr=27.3488376966536 dB
iter 33 psnr=27.1667892014889 dB
iter 34 psnr=26.988387067955 dB
iter 35 psnr=26.8136882562205 dB
iter 36 psnr=26.642619844342 dB
iter 37 psnr=26.4751260397286 dB
iter 38 psnr=26.3111553497188 dB
iter 39 psnr=26.1506763171896 dB
iter 40 psnr=25.9935623845927 dB
iter 41 psnr=25.8397686375718 dB
iter 42 psnr=25.6892154467962 dB
iter 43 psnr=25.5418523016127 dB
iter 44 psnr=25.39758237269 dB
iter 45 psnr=25.256338004206 dB
iter 46 psnr=25.1180214480686 dB
iter 47 psnr=24.9825589103501 dB
iter 48 psnr=24.8499013182383 dB
iter 49 psnr=24.7199534798988 dB
iter 50 psnr=24.5926608229728 dB
iter 51 psnr=24.4679333649389 dB
iter 52 psnr=24.345711376251 dB
iter 53 psnr=24.2259140984403 dB
iter 54 psnr=24.1084973012541 dB
iter 55 psnr=23.9934016064438 dB
iter 56 psnr=23.8805238942373 dB
iter 57 psnr=23.7698463869871 dB
iter 58 psnr=23.6612873109284 dB
iter 59 psnr=23.5548047488628 dB
iter 60 psnr=23.450321706331 dB
iter 61 psnr=23.3478371848288 dB
iter 62 psnr=23.2472120311025 dB
iter 63 psnr=23.1484618600318 dB
iter 64 psnr=23.0514997950526 dB
iter 65 psnr=22.9563263493325 dB
iter 66 psnr=22.8628324730558 dB
iter 67 psnr=22.7710417140887 dB
iter 68 psnr=22.6808552933415 dB
iter 69 psnr=22.592270611775 dB
iter 70 psnr=22.5052023196141 dB
iter 71 psnr=22.4196536326234 dB
iter 72 psnr=22.3355618509844 dB
iter 73 psnr=22.2529147306923 dB
iter 74 psnr=22.1716565852337 dB
iter 75 psnr=22.0917597795041 dB
iter 76 psnr=22.0131922089837 dB
iter 77 psnr=21.9359214317605 dB
iter 78 psnr=21.8599180400583 dB
iter 79 psnr=21.785148959738 dB
iter 80 psnr=21.7115726972174 dB
iter 81 psnr=21.6391767445595 dB
iter 82 psnr=21.5679354796365 dB
iter 83 psnr=21.4978306641405 dB
iter 84 psnr=21.4288013193572 dB
iter 85 psnr=21.3608561392235 dB
iter 86 psnr=21.2939515254117 dB
iter 87 psnr=21.2280822277041 dB
iter 88 psnr=21.1632035205618 dB
iter 89 psnr=21.0993193624223 dB
iter 90 psnr=21.0363760576536 dB
iter 91 psnr=20.9743959983146 dB
iter 92 psnr=20.9133214667016 dB
iter 93 psnr=20.8531475420426 dB
iter 94 psnr=20.7938555778076 dB
iter 95 psnr=20.735448499327 dB
iter 96 psnr=20.6778702666677 dB
iter 97 psnr=20.6211193081897 dB
iter 98 psnr=20.5651723428757 dB
iter 99 psnr=20.5100287822328 dB
iter 100 psnr=20.4556482263202 dB
iter 101 psnr=20.4020349575945 dB
iter 102 psnr=20.349150467849 dB
iter 103 psnr=20.2970066881983 dB
iter 104 psnr=20.2455711510112 dB
iter 105 psnr=20.1948437524174 dB
iter 106 psnr=20.1447989092335 dB
iter 107 psnr=20.0954212776225 dB
iter 108 psnr=20.0467121359356 dB
iter 109 psnr=19.9986467965719 dB
iter 110 psnr=19.9512257497882 dB
iter 111 psnr=19.9044148734616 dB
iter 112 psnr=19.858223399393 dB
iter 113 psnr=19.8126312546513 dB
iter 114 psnr=19.7676231740712 dB
iter 115 psnr=19.723193699124 dB
iter 116 psnr=19.6793410982459 dB
iter 117 psnr=19.6360292421772 dB
iter 118 psnr=19.5932718750778 dB
iter 119 psnr=19.5510538416825 dB
iter 120 psnr=19.5093685624075 dB
Processing OSSART-TV: 32760.04 ms
RESULT OSSART-TV IMAGE=mouse RADIUS=140 PSNR=19.468184 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_mouse_140.png
Processing OSSART-TV roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18408203125
iteration 3 err=1209.96215820313
iteration 4 err=269.337982177734
iteration 5 err=98.2791366577148
iteration 6 err=22.0614566802979
iteration 7 err=9.80570697784424
iteration 8 err=8.06200790405273
iteration 9 err=10.2483434677124
iteration 10 err=3.77357983589172
iteration 11 err=2.31876230239868
iteration 12 err=1.24721968173981
iteration 13 err=0.792614102363586
iteration 14 err=0.467004150152206
iteration 15 err=0.431911319494247
iteration 16 err=1.06971442699432
iteration 17 err=0.446788370609283
iteration 18 err=0.432192265987396
iteration 19 err=0.22580261528492
iteration 20 err=0.212862551212311
iter 1 psnr=8.58006155018611 dB
iter 2 psnr=8.59892457303718 dB
iter 3 psnr=8.61769311651695 dB
iter 4 psnr=8.63637696661431 dB
iter 5 psnr=8.65497245448871 dB
iter 6 psnr=8.67347554595986 dB
iter 7 psnr=8.69188727403242 dB
iter 8 psnr=8.71020645758161 dB
iter 9 psnr=8.72843449389085 dB
iter 10 psnr=8.74657282088409 dB
iter 11 psnr=8.76461933842221 dB
iter 12 psnr=8.78257748171386 dB
iter 13 psnr=8.80044518261339 dB
iter 14 psnr=8.81822463687671 dB
iter 15 psnr=8.83591445421169 dB
iter 16 psnr=8.85351655803293 dB
iter 17 psnr=8.87103125149784 dB
iter 18 psnr=8.8884591925963 dB
iter 19 psnr=8.90581148388567 dB
iter 20 psnr=8.92306803801909 dB
iter 21 psnr=8.9402484367703 dB
iter 22 psnr=8.95733381482074 dB
iter 23 psnr=8.97434292321174 dB
iter 24 psnr=8.99125848761046 dB
iter 25 psnr=9.00808740900244 dB
iter 26 psnr=9.02482323859792 dB
iter 27 psnr=9.04148544973016 dB
iter 28 psnr=9.05805693138802 dB
iter 29 psnr=9.07455491524372 dB
iter 30 psnr=9.09096078262797 dB
iter 31 psnr=9.10729648399107 dB
iter 32 psnr=9.12354049473415 dB
iter 33 psnr=9.13971389744946 dB
iter 34 psnr=9.15579751669157 dB
iter 35 psnr=9.17179763141667 dB
iter 36 psnr=9.1877091502019 dB
iter 37 psnr=9.20355067622442 dB
iter 38 psnr=9.21930424837564 dB
iter 39 psnr=9.23499008705287 dB
iter 40 psnr=9.25058687200534 dB
iter 41 psnr=9.26611936342355 dB
iter 42 psnr=9.28156284728261 dB
iter 43 psnr=9.29694301992403 dB
iter 44 psnr=9.31223428351237 dB
iter 45 psnr=9.32746291034774 dB
iter 46 psnr=9.34260389190929 dB
iter 47 psnr=9.35768372006301 dB
iter 48 psnr=9.37267874290006 dB
iter 49 psnr=9.38760892740475 dB
iter 50 psnr=9.40245646727831 dB
iter 51 psnr=9.41724037544159 dB
iter 52 psnr=9.43194237486803 dB
iter 53 psnr=9.44656869274015 dB
iter 54 psnr=9.46111381051817 dB
iter 55 psnr=9.47559858756367 dB
iter 56 psnr=9.49000149268307 dB
iter 57 psnr=9.5043439221641 dB
iter 58 psnr=9.51860653918516 dB
iter 59 psnr=9.53280897869894 dB
iter 60 psnr=9.54693179573356 dB
iter 61 psnr=9.56099633669846 dB
iter 62 psnr=9.57498188795276 dB
iter 63 psnr=9.58890956430894 dB
iter 64 psnr=9.60275735374718 dB
iter 65 psnr=9.61654968179955 dB
iter 66 psnr=9.63026205112455 dB
iter 67 psnr=9.64392065183808 dB
iter 68 psnr=9.65750086193985 dB
iter 69 psnr=9.67102746382618 dB
iter 70 psnr=9.68447730486032 dB
iter 71 psnr=9.69787293263155 dB
iter 72 psnr=9.71119469985123 dB
iter 73 psnr=9.72446168277241 dB
iter 74 psnr=9.73765371411394 dB
iter 75 psnr=9.75079284938049 dB
iter 76 psnr=9.76385882870426 dB
iter 77 psnr=9.77687181792975 dB
iter 78 psnr=9.78981350647534 dB
iter 79 psnr=9.80270297193379 dB
iter 80 psnr=9.81553673228683 dB
iter 81 psnr=9.82830378798589 dB
iter 82 psnr=9.84101469242601 dB
iter 83 psnr=9.85365922540119 dB
iter 84 psnr=9.86625053338325 dB
iter 85 psnr=9.87878930661052 dB
iter 86 psnr=9.89125263264395 dB
iter 87 psnr=9.90367570357462 dB
iter 88 psnr=9.91602371668505 dB
iter 89 psnr=9.92833037968156 dB
iter 90 psnr=9.94055770632101 dB
iter 91 psnr=9.95275026439949 dB
iter 92 psnr=9.96487249214723 dB
iter 93 psnr=9.9769430581948 dB
iter 94 psnr=9.98895582944565 dB
iter 95 psnr=10.0009063396267 dB
iter 96 psnr=10.0128069920301 dB
iter 97 psnr=10.0246611991239 dB
iter 98 psnr=10.0364405835666 dB
iter 99 psnr=10.0481859830247 dB
iter 100 psnr=10.0598597702478 dB
iter 101 psnr=10.0714960071021 dB
iter 102 psnr=10.0830418575655 dB
iter 103 psnr=10.0945729670774 dB
iter 104 psnr=10.1060262176261 dB
iter 105 psnr=10.1174400047162 dB
iter 106 psnr=10.1287894390238 dB
iter 107 psnr=10.1401074292832 dB
iter 108 psnr=10.1513555939895 dB
iter 109 psnr=10.1625665305592 dB
iter 110 psnr=10.1737218727146 dB
iter 111 psnr=10.1848342012579 dB
iter 112 psnr=10.1958832083552 dB
iter 113 psnr=10.2068941862907 dB
iter 114 psnr=10.2178331301706 dB
iter 115 psnr=10.2287481925825 dB
iter 116 psnr=10.2395893186585 dB
iter 117 psnr=10.2504062714311 dB
iter 118 psnr=10.261157015023 dB
iter 119 psnr=10.2718690699569 dB
iter 120 psnr=10.2825217790782 dB
Processing OSSART-TV: 13655.02 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=12 PSNR=10.293133 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_12.png
Processing OSSART-TV roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.185546875
iteration 3 err=1209.96203613281
iteration 4 err=269.337982177734
iteration 5 err=98.2791442871094
iteration 6 err=22.0613136291504
iteration 7 err=9.79522037506104
iteration 8 err=7.49987411499023
iteration 9 err=9.3507251739502
iteration 10 err=4.05466270446777
iteration 11 err=2.32087826728821
iteration 12 err=1.2472425699234
iteration 13 err=0.792616546154022
iteration 14 err=0.466849505901337
iteration 15 err=0.401010155677795
iteration 16 err=1.11150777339935
iteration 17 err=0.46850711107254
iteration 18 err=0.438763648271561
iteration 19 err=0.226071491837502
iteration 20 err=0.21287876367569
iter 1 psnr=10.7122250881345 dB
iter 2 psnr=10.7365995107542 dB
iter 3 psnr=10.760866061296 dB
iter 4 psnr=10.7850247321783 dB
iter 5 psnr=10.8090772778198 dB
iter 6 psnr=10.8330223356986 dB
iter 7 psnr=10.8568626249576 dB
iter 8 psnr=10.8805965607348 dB
iter 9 psnr=10.9042178402374 dB
iter 10 psnr=10.9277342736214 dB
iter 11 psnr=10.9511404704175 dB
iter 12 psnr=10.9744336490104 dB
iter 13 psnr=10.9976200306631 dB
iter 14 psnr=11.0207066066277 dB
iter 15 psnr=11.0436871597473 dB
iter 16 psnr=11.0665688263163 dB
iter 17 psnr=11.0893447788588 dB
iter 18 psnr=11.112022290756 dB
iter 19 psnr=11.1345963885286 dB
iter 20 psnr=11.1570732641037 dB
iter 21 psnr=11.1794476504325 dB
iter 22 psnr=11.2017239785857 dB
iter 23 psnr=11.2238833294185 dB
iter 24 psnr=11.2459555105887 dB
iter 25 psnr=11.2679171440205 dB
iter 26 psnr=11.2897923763431 dB
iter 27 psnr=11.3115582989238 dB
iter 28 psnr=11.3332393728035 dB
iter 29 psnr=11.3548118751196 dB
iter 30 psnr=11.3763018869753 dB
iter 31 psnr=11.3976835487146 dB
iter 32 psnr=11.4189759549297 dB
iter 33 psnr=11.4401592680402 dB
iter 34 psnr=11.4612588378901 dB
iter 35 psnr=11.4822544219208 dB
iter 36 psnr=11.5031649747963 dB
iter 37 psnr=11.5239643041261 dB
iter 38 psnr=11.5446762694569 dB
iter 39 psnr=11.5652761519176 dB
iter 40 psnr=11.5857877301293 dB
iter 41 psnr=11.6062106685016 dB
iter 42 psnr=11.6265453405039 dB
iter 43 psnr=11.64678760165 dB
iter 44 psnr=11.6669321959667 dB
iter 45 psnr=11.6869900198527 dB
iter 46 psnr=11.70696793854 dB
iter 47 psnr=11.7268498171194 dB
iter 48 psnr=11.7466510773868 dB
iter 49 psnr=11.766342526674 dB
iter 50 psnr=11.7859659282551 dB
iter 51 psnr=11.8054807917538 dB
iter 52 psnr=11.8249267663637 dB
iter 53 psnr=11.8442604576098 dB
iter 54 psnr=11.863527371493 dB
iter 55 psnr=11.8826830492106 dB
iter 56 psnr=11.9017767909046 dB
iter 57 psnr=11.9207653293737 dB
iter 58 psnr=11.9396824357562 dB
iter 59 psnr=11.9585110348778 dB
iter 60 psnr=11.9772594191642 dB
iter 61 psnr=11.9959133111876 dB
iter 62 psnr=12.0145057602093 dB
iter 63 psnr=12.0329924542839 dB
iter 64 psnr=12.0514142876446 dB
iter 65 psnr=12.069740426139 dB
iter 66 psnr=12.0880002778438 dB
iter 67 psnr=12.1061678081027 dB
iter 68 psnr=12.1242665032476 dB
iter 69 psnr=12.14227637398 dB
iter 70 psnr=12.160224717374 dB
iter 71 psnr=12.17808082811 dB
iter 72 psnr=12.1958738018685 dB
iter 73 psnr=12.2135742781254 dB
iter 74 psnr=12.2312152160434 dB
iter 75 psnr=12.2487626665723 dB
iter 76 psnr=12.2662490665752 dB
iter 77 psnr=12.2836446497467 dB
iter 78 psnr=12.3009817681221 dB
iter 79 psnr=12.3182267982812 dB
iter 80 psnr=12.3354123623 dB
iter 81 psnr=12.3525074583031 dB
iter 82 psnr=12.3695462511984 dB
iter 83 psnr=12.3864917509967 dB
iter 84 psnr=12.4033854569763 dB
iter 85 psnr=12.4201847334354 dB
iter 86 psnr=12.4369297376425 dB
iter 87 psnr=12.4535897017127 dB
iter 88 psnr=12.4701955078416 dB
iter 89 psnr=12.4867153238081 dB
iter 90 psnr=12.5031662300686 dB
iter 91 psnr=12.519536944798 dB
iter 92 psnr=12.5358524897015 dB
iter 93 psnr=12.5520779916197 dB
iter 94 psnr=12.5682606131269 dB
iter 95 psnr=12.5843506270353 dB
iter 96 psnr=12.6003964117423 dB
iter 97 psnr=12.6163649155083 dB
iter 98 psnr=12.6322765559 dB
iter 99 psnr=12.6481181637423 dB
iter 100 psnr=12.6638830129584 dB
iter 101 psnr=12.6796010931751 dB
iter 102 psnr=12.6952351954981 dB
iter 103 psnr=12.7108078748057 dB
iter 104 psnr=12.7263043709814 dB
iter 105 psnr=12.741764148282 dB
iter 106 psnr=12.7571351553431 dB
iter 107 psnr=12.7724610976227 dB
iter 108 psnr=12.787687661764 dB
iter 109 psnr=12.802891159329 dB
iter 110 psnr=12.8180047817905 dB
iter 111 psnr=12.8330623134433 dB
iter 112 psnr=12.8480385554343 dB
iter 113 psnr=12.8629694863125 dB
iter 114 psnr=12.8778303244555 dB
iter 115 psnr=12.8926313487019 dB
iter 116 psnr=12.9073689678332 dB
iter 117 psnr=12.9220606485536 dB
iter 118 psnr=12.9366685872616 dB
iter 119 psnr=12.9512200904496 dB
iter 120 psnr=12.9657125293521 dB
Processing OSSART-TV: 13960.02 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=16 PSNR=12.980170 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_16.png
Processing OSSART-TV roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18310546875
iteration 3 err=1209.96154785156
iteration 4 err=269.337890625
iteration 5 err=98.2790908813477
iteration 6 err=22.0614395141602
iteration 7 err=9.80577278137207
iteration 8 err=8.06612491607666
iteration 9 err=10.249415397644
iteration 10 err=3.77253246307373
iteration 11 err=2.31875061988831
iteration 12 err=1.24721717834473
iteration 13 err=0.792619824409485
iteration 14 err=0.467231154441834
iteration 15 err=0.436714321374893
iteration 16 err=1.03848040103912
iteration 17 err=0.504188656806946
iteration 18 err=0.396092921495438
iteration 19 err=0.22380168735981
iteration 20 err=0.212738394737244
iter 1 psnr=14.3887807674472 dB
iter 2 psnr=14.4260673682876 dB
iter 3 psnr=14.4632313314216 dB
iter 4 psnr=14.5002730060847 dB
iter 5 psnr=14.5371952606771 dB
iter 6 psnr=14.5739993197646 dB
iter 7 psnr=14.6106945292144 dB
iter 8 psnr=14.6472714105803 dB
iter 9 psnr=14.6837243086684 dB
iter 10 psnr=14.7200569206316 dB
iter 11 psnr=14.7562664760827 dB
iter 12 psnr=14.7923556453333 dB
iter 13 psnr=14.8283240386238 dB
iter 14 psnr=14.8641736165815 dB
iter 15 psnr=14.8999022134658 dB
iter 16 psnr=14.9355152927981 dB
iter 17 psnr=14.9710055488024 dB
iter 18 psnr=15.0063810060615 dB
iter 19 psnr=15.0416354301922 dB
iter 20 psnr=15.0767662244592 dB
iter 21 psnr=15.1117790676839 dB
iter 22 psnr=15.1466725954935 dB
iter 23 psnr=15.1814475784548 dB
iter 24 psnr=15.2161073611535 dB
iter 25 psnr=15.250649055857 dB
iter 26 psnr=15.2850726275831 dB
iter 27 psnr=15.3193603763213 dB
iter 28 psnr=15.3535364353145 dB
iter 29 psnr=15.3875919502352 dB
iter 30 psnr=15.4215315681975 dB
iter 31 psnr=15.455353057193 dB
iter 32 psnr=15.4890617123077 dB
iter 33 psnr=15.5226490277351 dB
iter 34 psnr=15.5561246486463 dB
iter 35 psnr=15.5894820241309 dB
iter 36 psnr=15.6227226177945 dB
iter 37 psnr=15.6558523079109 dB
iter 38 psnr=15.6888717006735 dB
iter 39 psnr=15.7217798949045 dB
iter 40 psnr=15.7545728229802 dB
iter 41 psnr=15.7872524034498 dB
iter 42 psnr=15.8198174266121 dB
iter 43 psnr=15.852285123742 dB
iter 44 psnr=15.8846230043958 dB
iter 45 psnr=15.9168537366698 dB
iter 46 psnr=15.9489542834021 dB
iter 47 psnr=15.9809633703112 dB
iter 48 psnr=16.0128470448438 dB
iter 49 psnr=16.0446290089336 dB
iter 50 psnr=16.0762854631444 dB
iter 51 psnr=16.1078349358969 dB
iter 52 psnr=16.139279507527 dB
iter 53 psnr=16.1706103643089 dB
iter 54 psnr=16.2018375629505 dB
iter 55 psnr=16.2329469367246 dB
iter 56 psnr=16.2639599580645 dB
iter 57 psnr=16.294852098033 dB
iter 58 psnr=16.3256401618419 dB
iter 59 psnr=16.3563194293532 dB
iter 60 psnr=16.3868874115866 dB
iter 61 psnr=16.417358380959 dB
iter 62 psnr=16.447705289834 dB
iter 63 psnr=16.4779585156504 dB
iter 64 psnr=16.5080984147329 dB
iter 65 psnr=16.5381407848838 dB
iter 66 psnr=16.5680801982341 dB
iter 67 psnr=16.5979072351677 dB
iter 68 psnr=16.627634768225 dB
iter 69 psnr=16.6572558778208 dB
iter 70 psnr=16.6867714351781 dB
iter 71 psnr=16.7161853783558 dB
iter 72 psnr=16.745492750597 dB
iter 73 psnr=16.7746950849074 dB
iter 74 psnr=16.8037909451242 dB
iter 75 psnr=16.8327901854187 dB
iter 76 psnr=16.8616797350425 dB
iter 77 psnr=16.890461289245 dB
iter 78 psnr=16.9191494525095 dB
iter 79 psnr=16.9477287154323 dB
iter 80 psnr=16.9762057288257 dB
iter 81 psnr=17.0045886968553 dB
iter 82 psnr=17.0328611067034 dB
iter 83 psnr=17.0610390281043 dB
iter 84 psnr=17.0891223984519 dB
iter 85 psnr=17.1170977758739 dB
iter 86 psnr=17.144970974356 dB
iter 87 psnr=17.1727565968195 dB
iter 88 psnr=17.2004269584072 dB
iter 89 psnr=17.2280236403317 dB
iter 90 psnr=17.2554951999322 dB
iter 91 psnr=17.2829004234628 dB
iter 92 psnr=17.3101814111661 dB
iter 93 psnr=17.3373995207722 dB
iter 94 psnr=17.3644805992126 dB
iter 95 psnr=17.3915035315628 dB
iter 96 psnr=17.4184165711001 dB
iter 97 psnr=17.4452520459707 dB
iter 98 psnr=17.4719733039609 dB
iter 99 psnr=17.4986298078534 dB
iter 100 psnr=17.5251579847356 dB
iter 101 psnr=17.5515980365334 dB
iter 102 psnr=17.5779598320751 dB
iter 103 psnr=17.6042409530897 dB
iter 104 psnr=17.6304164560874 dB
iter 105 psnr=17.6565259242039 dB
iter 106 psnr=17.6825235427517 dB
iter 107 psnr=17.7084138743693 dB
iter 108 psnr=17.7342423406873 dB
iter 109 psnr=17.7599630950744 dB
iter 110 psnr=17.785613854002 dB
iter 111 psnr=17.8111702980402 dB
iter 112 psnr=17.8366363171124 dB
iter 113 psnr=17.8620113732458 dB
iter 114 psnr=17.8873093299523 dB
iter 115 psnr=17.912504944685 dB
iter 116 psnr=17.9376213619016 dB
iter 117 psnr=17.9626370551717 dB
iter 118 psnr=17.9875818832984 dB
iter 119 psnr=18.0124134076943 dB
iter 120 psnr=18.0371836693044 dB
Processing OSSART-TV: 15230.02 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=24 PSNR=18.061864 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_24.png
Processing OSSART-TV roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18310546875
iteration 3 err=1209.96154785156
iteration 4 err=269.338104248047
iteration 5 err=98.2791442871094
iteration 6 err=22.0614700317383
iteration 7 err=9.80645370483398
iteration 8 err=8.10110092163086
iteration 9 err=10.2568798065186
iteration 10 err=3.76401281356812
iteration 11 err=2.31869697570801
iteration 12 err=1.24722218513489
iteration 13 err=0.792611062526703
iteration 14 err=0.466815590858459
iteration 15 err=0.422460675239563
iteration 16 err=1.11621606349945
iteration 17 err=0.400375515222549
iteration 18 err=0.472782552242279
iteration 19 err=0.229395821690559
iteration 20 err=0.213086903095245
iter 1 psnr=17.1224593602991 dB
iter 2 psnr=17.1730150707483 dB
iter 3 psnr=17.2234584955429 dB
iter 4 psnr=17.2737888788742 dB
iter 5 psnr=17.3240040075804 dB
iter 6 psnr=17.3741072661143 dB
iter 7 psnr=17.424093512412 dB
iter 8 psnr=17.4739685067781 dB
iter 9 psnr=17.523723673529 dB
iter 10 psnr=17.5733638124669 dB
iter 11 psnr=17.6228851886134 dB
iter 12 psnr=17.672293112796 dB
iter 13 psnr=17.7215697566902 dB
iter 14 psnr=17.7707211936113 dB
iter 15 psnr=17.8197600763452 dB
iter 16 psnr=17.8686761676524 dB
iter 17 psnr=17.9174718120715 dB
iter 18 psnr=17.966140336315 dB
iter 19 psnr=18.0146937511847 dB
iter 20 psnr=18.0631166333926 dB
iter 21 psnr=18.1114103467679 dB
iter 22 psnr=18.1595792183587 dB
iter 23 psnr=18.2076157525576 dB
iter 24 psnr=18.25553177832 dB
iter 25 psnr=18.3033136916798 dB
iter 26 psnr=18.3509669654951 dB
iter 27 psnr=18.3985020108185 dB
iter 28 psnr=18.4458987052041 dB
iter 29 psnr=18.4931807279253 dB
iter 30 psnr=18.5403181940389 dB
iter 31 psnr=18.5873461736585 dB
iter 32 psnr=18.6342250744647 dB
iter 33 psnr=18.6809865430986 dB
iter 34 psnr=18.7276101319462 dB
iter 35 psnr=18.7741064799745 dB
iter 36 psnr=18.8204728119702 dB
iter 37 psnr=18.8667041036981 dB
iter 38 psnr=18.912811005915 dB
iter 39 psnr=18.9587762645992 dB
iter 40 psnr=19.0046009469072 dB
iter 41 psnr=19.0503020895936 dB
iter 42 psnr=19.0958397059275 dB
iter 43 psnr=19.1412595608993 dB
iter 44 psnr=19.1865094943427 dB
iter 45 psnr=19.2316742160716 dB
iter 46 psnr=19.2766499778573 dB
iter 47 psnr=19.321504702029 dB
iter 48 psnr=19.3662091783773 dB
iter 49 psnr=19.4108068065876 dB
iter 50 psnr=19.455234166342 dB
iter 51 psnr=19.4995357743383 dB
iter 52 psnr=19.5436720137978 dB
iter 53 psnr=19.5877066332653 dB
iter 54 psnr=19.6315622946645 dB
iter 55 psnr=19.6752970543768 dB
iter 56 psnr=19.7188534079915 dB
iter 57 psnr=19.7623275057344 dB
iter 58 psnr=19.8055911005641 dB
iter 59 psnr=19.8487711827127 dB
iter 60 psnr=19.8917582990413 dB
iter 61 psnr=19.9346345524383 dB
iter 62 psnr=19.9773571955956 dB
iter 63 psnr=20.0199251926325 dB
iter 64 psnr=20.0623798135562 dB
iter 65 psnr=20.1046587812737 dB
iter 66 psnr=20.1468124469292 dB
iter 67 psnr=20.1888067015029 dB
iter 68 psnr=20.2306475955596 dB
iter 69 psnr=20.2723532650618 dB
iter 70 psnr=20.3139174528575 dB
iter 71 psnr=20.3552950943728 dB
iter 72 psnr=20.3965550962024 dB
iter 73 psnr=20.4376666189868 dB
iter 74 psnr=20.4785921247928 dB
iter 75 psnr=20.5194099930561 dB
iter 76 psnr=20.5600404775068 dB
iter 77 psnr=20.6005834742538 dB
iter 78 psnr=20.640919617303 dB
iter 79 psnr=20.6811438040371 dB
iter 80 psnr=20.7211686990298 dB
iter 81 psnr=20.7610897058594 dB
iter 82 psnr=20.8007922427775 dB
iter 83 psnr=20.8404053219572 dB
iter 84 psnr=20.8797859516608 dB
iter 85 psnr=20.9190742319229 dB
iter 86 psnr=20.958170264045 dB
iter 87 psnr=20.9971627624487 dB
iter 88 psnr=21.0359363377256 dB
iter 89 psnr=21.0746154796302 dB
iter 90 psnr=21.1130923984079 dB
iter 91 psnr=21.1514360506098 dB
iter 92 psnr=21.1895831730131 dB
iter 93 psnr=21.2276469415701 dB
iter 94 psnr=21.265456359752 dB
iter 95 psnr=21.3032159751399 dB
iter 96 psnr=21.3406901571493 dB
iter 97 psnr=21.3781493436304 dB
iter 98 psnr=21.4153297756934 dB
iter 99 psnr=21.4524186177299 dB
iter 100 psnr=21.4892671521919 dB
iter 101 psnr=21.5260341130763 dB
iter 102 psnr=21.5625354772554 dB
iter 103 psnr=21.5989383159164 dB
iter 104 psnr=21.6350989835475 dB
iter 105 psnr=21.6711912967542 dB
iter 106 psnr=21.7070032364077 dB
iter 107 psnr=21.7427605324489 dB
iter 108 psnr=21.7782624768836 dB
iter 109 psnr=21.8136713015123 dB
iter 110 psnr=21.8488358724192 dB
iter 111 psnr=21.8838959365098 dB
iter 112 psnr=21.9186964123588 dB
iter 113 psnr=21.9534439537776 dB
iter 114 psnr=21.987911961862 dB
iter 115 psnr=22.0223063888243 dB
iter 116 psnr=22.0564310234425 dB
iter 117 psnr=22.0904888524631 dB
iter 118 psnr=22.1242537439795 dB
iter 119 psnr=22.1579706524118 dB
iter 120 psnr=22.1913465274868 dB
Processing OSSART-TV: 17450.02 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=32 PSNR=22.224727 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_32.png
Processing OSSART-TV roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18115234375
iteration 3 err=1209.96142578125
iteration 4 err=269.337860107422
iteration 5 err=98.279052734375
iteration 6 err=22.0619201660156
iteration 7 err=9.83921813964844
iteration 8 err=9.71805191040039
iteration 9 err=9.4120922088623
iteration 10 err=3.60254502296448
iteration 11 err=2.31753182411194
iteration 12 err=1.24720788002014
iteration 13 err=0.792619109153748
iteration 14 err=0.468315631151199
iteration 15 err=0.697466194629669
iteration 16 err=0.57998263835907
iteration 17 err=0.418907314538956
iteration 18 err=0.439435333013535
iteration 19 err=0.226405411958694
iteration 20 err=0.212901562452316
iter 1 psnr=21.2683873162767 dB
iter 2 psnr=21.3417225040811 dB
iter 3 psnr=21.4149625357707 dB
iter 4 psnr=21.4880948897252 dB
iter 5 psnr=21.5611215022729 dB
iter 6 psnr=21.6340376806191 dB
iter 7 psnr=21.7068276077426 dB
iter 8 psnr=21.7794976576781 dB
iter 9 psnr=21.8520463086483 dB
iter 10 psnr=21.9244679758934 dB
iter 11 psnr=21.9967585246133 dB
iter 12 psnr=22.0689034762538 dB
iter 13 psnr=22.1409135016165 dB
iter 14 psnr=22.2127702244495 dB
iter 15 psnr=22.2844828101056 dB
iter 16 psnr=22.3560379943545 dB
iter 17 psnr=22.4274458036441 dB
iter 18 psnr=22.4986851093503 dB
iter 19 psnr=22.5697559534369 dB
iter 20 psnr=22.640655119796 dB
iter 21 psnr=22.7113783199105 dB
iter 22 psnr=22.7819170904281 dB
iter 23 psnr=22.8522655889705 dB
iter 24 psnr=22.9224213371672 dB
iter 25 psnr=22.9923760182512 dB
iter 26 psnr=23.0621240934132 dB
iter 27 psnr=23.1316684736849 dB
iter 28 psnr=23.2009991013726 dB
iter 29 psnr=23.2701031119191 dB
iter 30 psnr=23.3389768868567 dB
iter 31 psnr=23.407606534325 dB
iter 32 psnr=23.4759906123481 dB
iter 33 psnr=23.5441315724512 dB
iter 34 psnr=23.612022388097 dB
iter 35 psnr=23.679658123124 dB
iter 36 psnr=23.747027641458 dB
iter 37 psnr=23.8141392089114 dB
iter 38 psnr=23.8809670924052 dB
iter 39 psnr=23.9475112222204 dB
iter 40 psnr=24.0137582543117 dB
iter 41 psnr=24.0797075916245 dB
iter 42 psnr=24.1453387287602 dB
iter 43 psnr=24.2106623566776 dB
iter 44 psnr=24.2756495204191 dB
iter 45 psnr=24.3403470994515 dB
iter 46 psnr=24.4046834399207 dB
iter 47 psnr=24.4686894612204 dB
iter 48 psnr=24.5323198792945 dB
iter 49 psnr=24.5956211681733 dB
iter 50 psnr=24.6585084563612 dB
iter 51 psnr=24.7210572997267 dB
iter 52 psnr=24.7831826319404 dB
iter 53 psnr=24.8449396171269 dB
iter 54 psnr=24.9062699910389 dB
iter 55 psnr=24.9671925854803 dB
iter 56 psnr=25.0276852040615 dB
iter 57 psnr=25.0877559059075 dB
iter 58 psnr=25.1473746509202 dB
iter 59 psnr=25.2065631377418 dB
iter 60 psnr=25.2652890809288 dB
iter 61 psnr=25.3235737150365 dB
iter 62 psnr=25.3813722268469 dB
iter 63 psnr=25.4387117171998 dB
iter 64 psnr=25.4955048788218 dB
iter 65 psnr=25.5518922497889 dB
iter 66 psnr=25.6077119517988 dB
iter 67 psnr=25.6631192655636 dB
iter 68 psnr=25.7178768480303 dB
iter 69 psnr=25.7722304206067 dB
iter 70 psnr=25.8259490645224 dB
iter 71 psnr=25.8792010352931 dB
iter 72 psnr=25.9317848104716 dB
iter 73 psnr=25.983905068752 dB
iter 74 psnr=26.0353955141428 dB
iter 75 psnr=26.0863588390675 dB
iter 76 psnr=26.1367095474835 dB
iter 77 psnr=26.1864561533792 dB
iter 78 psnr=26.2356159017948 dB
iter 79 psnr=26.284105652745 dB
iter 80 psnr=26.3320268093419 dB
iter 81 psnr=26.379284815919 dB
iter 82 psnr=26.4259753338146 dB
iter 83 psnr=26.4719812909287 dB
iter 84 psnr=26.5173532966485 dB
iter 85 psnr=26.5620538601205 dB
iter 86 psnr=26.6061457612066 dB
iter 87 psnr=26.6495108345833 dB
iter 88 psnr=26.6922321420979 dB
iter 89 psnr=26.7342603466647 dB
iter 90 psnr=26.7756172825881 dB
iter 91 psnr=26.816260324316 dB
iter 92 psnr=26.8562055961028 dB
iter 93 psnr=26.8954599028353 dB
iter 94 psnr=26.9339915417574 dB
iter 95 psnr=26.9718549609844 dB
iter 96 psnr=27.0089731078197 dB
iter 97 psnr=27.045396184943 dB
iter 98 psnr=27.0810741898459 dB
iter 99 psnr=27.1160486977085 dB
iter 100 psnr=27.1502710630487 dB
iter 101 psnr=27.1838033920042 dB
iter 102 psnr=27.2165146783442 dB
iter 103 psnr=27.248548440598 dB
iter 104 psnr=27.2798089712821 dB
iter 105 psnr=27.3103474917139 dB
iter 106 psnr=27.3401288141626 dB
iter 107 psnr=27.3691902445387 dB
iter 108 psnr=27.3974915504644 dB
iter 109 psnr=27.4250738682158 dB
iter 110 psnr=27.4518457884135 dB
iter 111 psnr=27.4779627416086 dB
iter 112 psnr=27.5032281031732 dB
iter 113 psnr=27.527823521787 dB
iter 114 psnr=27.5515866493602 dB
iter 115 psnr=27.5747189007407 dB
iter 116 psnr=27.5970087700482 dB
iter 117 psnr=27.6186473282169 dB
iter 118 psnr=27.6394802958104 dB
iter 119 psnr=27.6596655588696 dB
iter 120 psnr=27.6790189003366 dB
Processing OSSART-TV: 21535.03 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=48 PSNR=27.697757 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_48.png
Processing OSSART-TV roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18505859375
iteration 3 err=1209.96215820313
iteration 4 err=269.338104248047
iteration 5 err=98.279182434082
iteration 6 err=22.0613098144531
iteration 7 err=9.79497241973877
iteration 8 err=7.4862904548645
iteration 9 err=9.29788208007813
iteration 10 err=4.06837463378906
iteration 11 err=2.32097887992859
iteration 12 err=1.24723994731903
iteration 13 err=0.792616546154022
iteration 14 err=0.466932564973831
iteration 15 err=0.403573393821716
iteration 16 err=1.08126938343048
iteration 17 err=0.494740217924118
iteration 18 err=0.423308253288269
iteration 19 err=0.225069880485535
iteration 20 err=0.212815895676613
iter 1 psnr=24.8060601601662 dB
iter 2 psnr=24.9089723471511 dB
iter 3 psnr=25.0117204415607 dB
iter 4 psnr=25.1142857675057 dB
iter 5 psnr=25.2166577759585 dB
iter 6 psnr=25.3188103270948 dB
iter 7 psnr=25.4207241357451 dB
iter 8 psnr=25.5223540815887 dB
iter 9 psnr=25.6237088087317 dB
iter 10 psnr=25.7247372441626 dB
iter 11 psnr=25.8254298296014 dB
iter 12 psnr=25.9257446529616 dB
iter 13 psnr=26.0256755509011 dB
iter 14 psnr=26.1251691968452 dB
iter 15 psnr=26.2242265815112 dB
iter 16 psnr=26.3227743005356 dB
iter 17 psnr=26.4208160357536 dB
iter 18 psnr=26.5182832866199 dB
iter 19 psnr=26.6151938197671 dB
iter 20 psnr=26.7114470236509 dB
iter 21 psnr=26.8070782866978 dB
iter 22 psnr=26.9019739542267 dB
iter 23 psnr=26.9961733370164 dB
iter 24 psnr=27.0895599362852 dB
iter 25 psnr=27.1821734202998 dB
iter 26 psnr=27.273897854134 dB
iter 27 psnr=27.3647541719351 dB
iter 28 psnr=27.4546236573813 dB
iter 29 psnr=27.543554690677 dB
iter 30 psnr=27.6313986381246 dB
iter 31 psnr=27.718231183612 dB
iter 32 psnr=27.8038927586 dB
iter 33 psnr=27.8884396156304 dB
iter 34 psnr=27.9717382567694 dB
iter 35 psnr=28.0538277676648 dB
iter 36 psnr=28.1345765502892 dB
iter 37 psnr=28.2140373350742 dB
iter 38 psnr=28.2920615666443 dB
iter 39 psnr=28.368676827865 dB
iter 40 psnr=28.4437631573328 dB
iter 41 psnr=28.5173505995181 dB
iter 42 psnr=28.5893237965936 dB
iter 43 psnr=28.6596851019819 dB
iter 44 psnr=28.72836356526 dB
iter 45 psnr=28.7953773447121 dB
iter 46 psnr=28.8605961665796 dB
iter 47 psnr=28.9240873186549 dB
iter 48 psnr=28.9857180877666 dB
iter 49 psnr=29.0454916660002 dB
iter 50 psnr=29.1033849073618 dB
iter 51 psnr=29.1593475988371 dB
iter 52 psnr=29.2133498985566 dB
iter 53 psnr=29.2653639307758 dB
iter 54 psnr=29.3153870013713 dB
iter 55 psnr=29.3633737708989 dB
iter 56 psnr=29.4093004983568 dB
iter 57 psnr=29.453160332189 dB
iter 58 psnr=29.4948739427659 dB
iter 59 psnr=29.5345616297723 dB
iter 60 psnr=29.5720894588109 dB
iter 61 psnr=29.6075198714774 dB
iter 62 psnr=29.6407811135516 dB
iter 63 psnr=29.6719762605932 dB
iter 64 psnr=29.7010133356596 dB
iter 65 psnr=29.7279208237995 dB
iter 66 psnr=29.7526840182194 dB
iter 67 psnr=29.775360921257 dB
iter 68 psnr=29.795972831693 dB
iter 69 psnr=29.8144779490861 dB
iter 70 psnr=29.8309187597629 dB
iter 71 psnr=29.845328723237 dB
iter 72 psnr=29.8576956247095 dB
iter 73 psnr=29.8680806372865 dB
iter 74 psnr=29.8764344671179 dB
iter 75 psnr=29.8829814492128 dB
iter 76 psnr=29.887493991527 dB
iter 77 psnr=29.8902355220388 dB
iter 78 psnr=29.8910493119818 dB
iter 79 psnr=29.8901436637744 dB
iter 80 psnr=29.8873790607529 dB
iter 81 psnr=29.8829781997912 dB
iter 82 psnr=29.8768299570279 dB
iter 83 psnr=29.8691184542589 dB
iter 84 psnr=29.8597633154395 dB
iter 85 psnr=29.8488808437988 dB
iter 86 psnr=29.8365179069685 dB
iter 87 psnr=29.8226925329444 dB
iter 88 psnr=29.8074421770817 dB
iter 89 psnr=29.7908448735788 dB
iter 90 psnr=29.7728894627985 dB
iter 91 psnr=29.753726160537 dB
iter 92 psnr=29.7332561098937 dB
iter 93 psnr=29.7116331190463 dB
iter 94 psnr=29.6888050676735 dB
iter 95 psnr=29.6649799389906 dB
iter 96 psnr=29.6400821950022 dB
iter 97 psnr=29.6141489213611 dB
iter 98 psnr=29.5872145949938 dB
iter 99 psnr=29.5593978884622 dB
iter 100 psnr=29.530653136427 dB
iter 101 psnr=29.5011228319017 dB
iter 102 psnr=29.4707381577026 dB
iter 103 psnr=29.4396392767088 dB
iter 104 psnr=29.4077549175938 dB
iter 105 psnr=29.3752844075938 dB
iter 106 psnr=29.3420697665698 dB
iter 107 psnr=29.3083489832783 dB
iter 108 psnr=29.2739342527326 dB
iter 109 psnr=29.2390709398094 dB
iter 110 psnr=29.2036437976557 dB
iter 111 psnr=29.1677722879026 dB
iter 112 psnr=29.1314867086389 dB
iter 113 psnr=29.0947377792351 dB
iter 114 psnr=29.0576080800246 dB
iter 115 psnr=29.0201220672309 dB
iter 116 psnr=28.9823555720345 dB
iter 117 psnr=28.9442156692508 dB
iter 118 psnr=28.9059219713647 dB
iter 119 psnr=28.8672436787325 dB
iter 120 psnr=28.8284278824045 dB
Processing OSSART-TV: 21450.03 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=64 PSNR=28.789355 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_64.png
Processing OSSART-TV roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18408203125
iteration 3 err=1209.96215820313
iteration 4 err=269.338043212891
iteration 5 err=98.279182434082
iteration 6 err=22.0614738464355
iteration 7 err=9.80574798583984
iteration 8 err=8.06385231018066
iteration 9 err=10.2488346099854
iteration 10 err=3.77311563491821
iteration 11 err=2.31875967979431
iteration 12 err=1.24721956253052
iteration 13 err=0.792608380317688
iteration 14 err=0.466713935136795
iteration 15 err=0.401589602231979
iteration 16 err=1.17805087566376
iteration 17 err=0.409932166337967
iteration 18 err=0.475762128829956
iteration 19 err=0.229637891054153
iteration 20 err=0.213100373744965
iter 1 psnr=28.1614063617999 dB
iter 2 psnr=28.2947827404359 dB
iter 3 psnr=28.4272816299013 dB
iter 4 psnr=28.5587988735442 dB
iter 5 psnr=28.6892357078 dB
iter 6 psnr=28.8184637920547 dB
iter 7 psnr=28.9463896089588 dB
iter 8 psnr=29.0728650896436 dB
iter 9 psnr=29.1977966072853 dB
iter 10 psnr=29.3210183334769 dB
iter 11 psnr=29.4424239975951 dB
iter 12 psnr=29.5618374181487 dB
iter 13 psnr=29.6791520445666 dB
iter 14 psnr=29.7941953904709 dB
iter 15 psnr=29.9068332451856 dB
iter 16 psnr=30.0169024009878 dB
iter 17 psnr=30.1242506984354 dB
iter 18 psnr=30.2287308771596 dB
iter 19 psnr=30.3301809786363 dB
iter 20 psnr=30.4284417335697 dB
iter 21 psnr=30.5233971123532 dB
iter 22 psnr=30.6148391631934 dB
iter 23 psnr=30.7026921804921 dB
iter 24 psnr=30.7867692359972 dB
iter 25 psnr=30.8669986007606 dB
iter 26 psnr=30.943161016328 dB
iter 27 psnr=31.0152042142021 dB
iter 28 psnr=31.0830032152418 dB
iter 29 psnr=31.1464363329509 dB
iter 30 psnr=31.2054616193787 dB
iter 31 psnr=31.2599836185832 dB
iter 32 psnr=31.3099206600102 dB
iter 33 psnr=31.3552686701257 dB
iter 34 psnr=31.3959546038697 dB
iter 35 psnr=31.4319800222885 dB
iter 36 psnr=31.4633258001779 dB
iter 37 psnr=31.4900070164354 dB
iter 38 psnr=31.5120509374299 dB
iter 39 psnr=31.5294527238809 dB
iter 40 psnr=31.5422670518025 dB
iter 41 psnr=31.5506878148576 dB
iter 42 psnr=31.5545895256904 dB
iter 43 psnr=31.5542574298363 dB
iter 44 psnr=31.549623641598 dB
iter 45 psnr=31.5409716957674 dB
iter 46 psnr=31.528240838974 dB
iter 47 psnr=31.5117462880417 dB
iter 48 psnr=31.4914756787966 dB
iter 49 psnr=31.4676916242704 dB
iter 50 psnr=31.4404150147713 dB
iter 51 psnr=31.4099272125624 dB
iter 52 psnr=31.3762108840983 dB
iter 53 psnr=31.3396464378117 dB
iter 54 psnr=31.3001745360525 dB
iter 55 psnr=31.2580751148572 dB
iter 56 psnr=31.2134047574595 dB
iter 57 psnr=31.1664173195218 dB
iter 58 psnr=31.1171421427199 dB
iter 59 psnr=31.0658719744187 dB
iter 60 psnr=31.0126283818483 dB
iter 61 psnr=30.9576112185906 dB
iter 62 psnr=30.9009002366227 dB
iter 63 psnr=30.8427169744859 dB
iter 64 psnr=30.783128233224 dB
iter 65 psnr=30.7222894198465 dB
iter 66 psnr=30.6602415516414 dB
iter 67 psnr=30.5971703182113 dB
iter 68 psnr=30.5331151783284 dB
iter 69 psnr=30.4682703707815 dB
iter 70 psnr=30.4026150740686 dB
iter 71 psnr=30.3363525140318 dB
iter 72 psnr=30.269514071294 dB
iter 73 psnr=30.2021613424796 dB
iter 74 psnr=30.1344726131962 dB
iter 75 psnr=30.0663597287056 dB
iter 76 psnr=29.9980450552615 dB
iter 77 psnr=29.9294763875403 dB
iter 78 psnr=29.8608265509364 dB
iter 79 psnr=29.7920314192552 dB
iter 80 psnr=29.7232785308553 dB
iter 81 psnr=29.6544639213631 dB
iter 82 psnr=29.5857238590864 dB
iter 83 psnr=29.5170980446212 dB
iter 84 psnr=29.4486000142741 dB
iter 85 psnr=29.3802717910071 dB
iter 86 psnr=29.3121743439258 dB
iter 87 psnr=29.2443086355414 dB
iter 88 psnr=29.1767442702672 dB
iter 89 psnr=29.1094254673184 dB
iter 90 psnr=29.0424536087572 dB
iter 91 psnr=28.9757876918351 dB
iter 92 psnr=28.9095578400915 dB
iter 93 psnr=28.84363809359 dB
iter 94 psnr=28.7781846655683 dB
iter 95 psnr=28.7130943907485 dB
iter 96 psnr=28.6484650757276 dB
iter 97 psnr=28.5842422679195 dB
iter 98 psnr=28.5204612399009 dB
iter 99 psnr=28.4571417028324 dB
iter 100 psnr=28.3942908540123 dB
iter 101 psnr=28.3318909903799 dB
iter 102 psnr=28.2699806432378 dB
iter 103 psnr=28.2085635787914 dB
iter 104 psnr=28.1476462096484 dB
iter 105 psnr=28.087209900167 dB
iter 106 psnr=28.0272967879427 dB
iter 107 psnr=27.9678355723998 dB
iter 108 psnr=27.9089398525532 dB
iter 109 psnr=27.8505308348667 dB
iter 110 psnr=27.7926533222236 dB
iter 111 psnr=27.7352523073722 dB
iter 112 psnr=27.6783605479166 dB
iter 113 psnr=27.6219707377564 dB
iter 114 psnr=27.5661088086349 dB
iter 115 psnr=27.5107132563727 dB
iter 116 psnr=27.4558303877176 dB
iter 117 psnr=27.4014364185666 dB
iter 118 psnr=27.3475521129837 dB
iter 119 psnr=27.2941458559499 dB
iter 120 psnr=27.2412278827991 dB
Processing OSSART-TV: 21440.03 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=80 PSNR=27.188816 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_80.png
Processing OSSART-TV roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18505859375
iteration 3 err=1209.96179199219
iteration 4 err=269.337982177734
iteration 5 err=98.2790756225586
iteration 6 err=22.0612640380859
iteration 7 err=9.7945032119751
iteration 8 err=7.46188068389893
iteration 9 err=9.19682502746582
iteration 10 err=4.09474849700928
iteration 11 err=2.32117795944214
iteration 12 err=1.24723863601685
iteration 13 err=0.792627215385437
iteration 14 err=0.467398673295975
iteration 15 err=0.426825493574142
iteration 16 err=1.00330221652985
iteration 17 err=0.575754523277283
iteration 18 err=0.375336050987244
iteration 19 err=0.222832873463631
iteration 20 err=0.212681889533997
iter 1 psnr=30.3665785478976 dB
iter 2 psnr=30.4973714266241 dB
iter 3 psnr=30.624576476687 dB
iter 4 psnr=30.7479489545412 dB
iter 5 psnr=30.8672004753022 dB
iter 6 psnr=30.982081775349 dB
iter 7 psnr=31.0923257844175 dB
iter 8 psnr=31.1977010035649 dB
iter 9 psnr=31.2979140266509 dB
iter 10 psnr=31.3927561827311 dB
iter 11 psnr=31.4819908399816 dB
iter 12 psnr=31.5654304684077 dB
iter 13 psnr=31.6428596164821 dB
iter 14 psnr=31.7141006516642 dB
iter 15 psnr=31.7790018213995 dB
iter 16 psnr=31.8374455991084 dB
iter 17 psnr=31.8893423286325 dB
iter 18 psnr=31.93461402063 dB
iter 19 psnr=31.9732170361067 dB
iter 20 psnr=32.005147919598 dB
iter 21 psnr=32.030431211364 dB
iter 22 psnr=32.0491247424508 dB
iter 23 psnr=32.0612838234565 dB
iter 24 psnr=32.0670191210496 dB
iter 25 psnr=32.0664449585006 dB
iter 26 psnr=32.0597487310708 dB
iter 27 psnr=32.0470828254602 dB
iter 28 psnr=32.0286744769975 dB
iter 29 psnr=32.0046909479569 dB
iter 30 psnr=31.9754271524169 dB
iter 31 psnr=31.9410268674861 dB
iter 32 psnr=31.9018470051499 dB
iter 33 psnr=31.8580450665086 dB
iter 34 psnr=31.8099917017997 dB
iter 35 psnr=31.7578724520492 dB
iter 36 psnr=31.7020169672188 dB
iter 37 psnr=31.642610788934 dB
iter 38 psnr=31.5800119581886 dB
iter 39 psnr=31.5144154546501 dB
iter 40 psnr=31.4461029692787 dB
iter 41 psnr=31.3752202223686 dB
iter 42 psnr=31.3021179974822 dB
iter 43 psnr=31.2268990712579 dB
iter 44 psnr=31.1498970818041 dB
iter 45 psnr=31.0711946056205 dB
iter 46 psnr=30.991117176987 dB
iter 47 psnr=30.9096859750168 dB
iter 48 psnr=30.8272174642914 dB
iter 49 psnr=30.7437627587904 dB
iter 50 psnr=30.6595559402536 dB
iter 51 psnr=30.5746326167077 dB
iter 52 psnr=30.489245220266 dB
iter 53 psnr=30.4034060659913 dB
iter 54 psnr=30.3173492904575 dB
iter 55 psnr=30.2310187165883 dB
iter 56 psnr=30.1446858953044 dB
iter 57 psnr=30.05828047954 dB
iter 58 psnr=29.9720292190571 dB
iter 59 psnr=29.8858431721167 dB
iter 60 psnr=29.7999731816437 dB
iter 61 psnr=29.7143039736291 dB
iter 62 psnr=29.6290788713084 dB
iter 63 psnr=29.5441582983444 dB
iter 64 psnr=29.4597715902321 dB
iter 65 psnr=29.3757903853915 dB
iter 66 psnr=29.29242039298 dB
iter 67 psnr=29.2095063700632 dB
iter 68 psnr=29.1272648147413 dB
iter 69 psnr=29.0455512199731 dB
iter 70 psnr=28.9645567019794 dB
iter 71 psnr=28.8841246853298 dB
iter 72 psnr=28.8044701712917 dB
iter 73 psnr=28.7253991127306 dB
iter 74 psnr=28.6471349025617 dB
iter 75 psnr=28.569513711025 dB
iter 76 psnr=28.4926910888037 dB
iter 77 psnr=28.4165355998795 dB
iter 78 psnr=28.3411996910171 dB
iter 79 psnr=28.2665709836699 dB
iter 80 psnr=28.1927028376813 dB
iter 81 psnr=28.119585521265 dB
iter 82 psnr=28.0472392769178 dB
iter 83 psnr=27.975642788927 dB
iter 84 psnr=27.9047943302013 dB
iter 85 psnr=27.8346933952537 dB
iter 86 psnr=27.7653650483162 dB
iter 87 psnr=27.6967807111055 dB
iter 88 psnr=27.628930683354 dB
iter 89 psnr=27.5618400238365 dB
iter 90 psnr=27.4954673908967 dB
iter 91 psnr=27.4298129078252 dB
iter 92 psnr=27.3649136794462 dB
iter 93 psnr=27.3006898456294 dB
iter 94 psnr=27.2372267091639 dB
iter 95 psnr=27.174413041258 dB
iter 96 psnr=27.1123497728023 dB
iter 97 psnr=27.0509512732301 dB
iter 98 psnr=26.9902609773922 dB
iter 99 psnr=26.9302197854394 dB
iter 100 psnr=26.8708699916969 dB
iter 101 psnr=26.8121658804775 dB
iter 102 psnr=26.754135088341 dB
iter 103 psnr=26.6967301849226 dB
iter 104 psnr=26.6399810827304 dB
iter 105 psnr=26.5838537543822 dB
iter 106 psnr=26.5283764422509 dB
iter 107 psnr=26.4734914302145 dB
iter 108 psnr=26.419231254538 dB
iter 109 psnr=26.3655626787047 dB
iter 110 psnr=26.3125069161469 dB
iter 111 psnr=26.2600112249505 dB
iter 112 psnr=26.2081381019883 dB
iter 113 psnr=26.1568029536281 dB
iter 114 psnr=26.1060382007825 dB
iter 115 psnr=26.0558171756316 dB
iter 116 psnr=26.0061749967697 dB
iter 117 psnr=25.9570491381776 dB
iter 118 psnr=25.9084753346382 dB
iter 119 psnr=25.8603955857047 dB
iter 120 psnr=25.8128583864282 dB
Processing OSSART-TV: 21430.03 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=96 PSNR=25.765814 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_96.png
Processing OSSART-TV roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1845703125
iteration 3 err=1209.96252441406
iteration 4 err=269.338165283203
iteration 5 err=98.2792053222656
iteration 6 err=22.0614757537842
iteration 7 err=9.80576038360596
iteration 8 err=8.06447601318359
iteration 9 err=10.2490043640137
iteration 10 err=3.77296161651611
iteration 11 err=2.31875944137573
iteration 12 err=1.2472198009491
iteration 13 err=0.792602121829987
iteration 14 err=0.466624975204468
iteration 15 err=0.423856258392334
iteration 16 err=1.11589026451111
iteration 17 err=0.321055978536606
iteration 18 err=0.422402620315552
iteration 19 err=0.278726607561111
iteration 20 err=0.217041566967964
iter 1 psnr=33.103444199996 dB
iter 2 psnr=33.2359608101024 dB
iter 3 psnr=33.359787918923 dB
iter 4 psnr=33.4743677554708 dB
iter 5 psnr=33.5792176907063 dB
iter 6 psnr=33.6738628771259 dB
iter 7 psnr=33.7578691765292 dB
iter 8 psnr=33.8309233192821 dB
iter 9 psnr=33.8927864813215 dB
iter 10 psnr=33.9432212861206 dB
iter 11 psnr=33.9821923042299 dB
iter 12 psnr=34.0096499995159 dB
iter 13 psnr=34.0257183256677 dB
iter 14 psnr=34.0305453746393 dB
iter 15 psnr=34.0244059812485 dB
iter 16 psnr=34.0076263899591 dB
iter 17 psnr=33.9806023643593 dB
iter 18 psnr=33.9437788367247 dB
iter 19 psnr=33.8976985301433 dB
iter 20 psnr=33.8428736223302 dB
iter 21 psnr=33.7799254948219 dB
iter 22 psnr=33.7093831302284 dB
iter 23 psnr=33.6318912183983 dB
iter 24 psnr=33.54801067955 dB
iter 25 psnr=33.458390649708 dB
iter 26 psnr=33.3635680573629 dB
iter 27 psnr=33.2641175250106 dB
iter 28 psnr=33.1605983850079 dB
iter 29 psnr=33.0535045291662 dB
iter 30 psnr=32.9432940372775 dB
iter 31 psnr=32.8304581614725 dB
iter 32 psnr=32.7153656613243 dB
iter 33 psnr=32.5984271225229 dB
iter 34 psnr=32.4800319050479 dB
iter 35 psnr=32.3604988648672 dB
iter 36 psnr=32.2400627997815 dB
iter 37 psnr=32.1191077878527 dB
iter 38 psnr=31.9977783280777 dB
iter 39 psnr=31.8763683861951 dB
iter 40 psnr=31.7550206974628 dB
iter 41 psnr=31.6339647897834 dB
iter 42 psnr=31.513316856725 dB
iter 43 psnr=31.3932782143118 dB
iter 44 psnr=31.2738858909729 dB
iter 45 psnr=31.1553383525615 dB
iter 46 psnr=31.0376624561773 dB
iter 47 psnr=30.9209890862359 dB
iter 48 psnr=30.805347398103 dB
iter 49 psnr=30.6908265293692 dB
iter 50 psnr=30.5774804664275 dB
iter 51 psnr=30.4653114989936 dB
iter 52 psnr=30.3544185138862 dB
iter 53 psnr=30.2447970200203 dB
iter 54 psnr=30.1364674615505 dB
iter 55 psnr=30.0294344764912 dB
iter 56 psnr=29.923749562511 dB
iter 57 psnr=29.8193948774343 dB
iter 58 psnr=29.7163745851758 dB
iter 59 psnr=29.6147133693118 dB
iter 60 psnr=29.5144103169347 dB
iter 61 psnr=29.4154514753839 dB
iter 62 psnr=29.3178128954867 dB
iter 63 psnr=29.2215203398717 dB
iter 64 psnr=29.1265290398286 dB
iter 65 psnr=29.0328504827911 dB
iter 66 psnr=28.9404852823795 dB
iter 67 psnr=28.849392159562 dB
iter 68 psnr=28.7595830871278 dB
iter 69 psnr=28.6710027705831 dB
iter 70 psnr=28.583712492568 dB
iter 71 psnr=28.4975941164668 dB
iter 72 psnr=28.4127453209589 dB
iter 73 psnr=28.3290339321624 dB
iter 74 psnr=28.2465436233971 dB
iter 75 psnr=28.1651812504083 dB
iter 76 psnr=28.0849778221605 dB
iter 77 psnr=28.0058867066309 dB
iter 78 psnr=27.9279207657131 dB
iter 79 psnr=27.851015172525 dB
iter 80 psnr=27.7752118558856 dB
iter 81 psnr=27.7004063344426 dB
iter 82 psnr=27.6266897701624 dB
iter 83 psnr=27.5539536496921 dB
iter 84 psnr=27.4822358559512 dB
iter 85 psnr=27.4114854099198 dB
iter 86 psnr=27.341699422828 dB
iter 87 psnr=27.2728742346733 dB
iter 88 psnr=27.2049731527597 dB
iter 89 psnr=27.1380003543798 dB
iter 90 psnr=27.0719218772651 dB
iter 91 psnr=27.0067418024962 dB
iter 92 psnr=26.9424235616078 dB
iter 93 psnr=26.8789583172314 dB
iter 94 psnr=26.8163337843976 dB
iter 95 psnr=26.7545369465024 dB
iter 96 psnr=26.6935454619073 dB
iter 97 psnr=26.6333529114004 dB
iter 98 psnr=26.5739424610043 dB
iter 99 psnr=26.5152988734635 dB
iter 100 psnr=26.4574103822013 dB
iter 101 psnr=26.4002684753808 dB
iter 102 psnr=26.3438660984169 dB
iter 103 psnr=26.2881691789909 dB
iter 104 psnr=26.2331831269828 dB
iter 105 psnr=26.1789024008632 dB
iter 106 psnr=26.1253048071687 dB
iter 107 psnr=26.072383134773 dB
iter 108 psnr=26.0201027442446 dB
iter 109 psnr=25.9684738272354 dB
iter 110 psnr=25.9174882570652 dB
iter 111 psnr=25.8671278104381 dB
iter 112 psnr=25.8173718249828 dB
iter 113 psnr=25.7682407213205 dB
iter 114 psnr=25.7197082052848 dB
iter 115 psnr=25.6717476365556 dB
iter 116 psnr=25.6243469418039 dB
iter 117 psnr=25.5775284602951 dB
iter 118 psnr=25.5312578165094 dB
iter 119 psnr=25.4855402530091 dB
iter 120 psnr=25.4403581126575 dB
Processing OSSART-TV: 22155.03 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=128 PSNR=25.395697 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_128.png
Processing OSSART-TV roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18212890625
iteration 3 err=1209.96105957031
iteration 4 err=269.337890625
iteration 5 err=98.279052734375
iteration 6 err=22.0616512298584
iteration 7 err=9.82099437713623
iteration 8 err=8.84352016448975
iteration 9 err=9.99763679504395
iteration 10 err=3.65614557266235
iteration 11 err=2.31791663169861
iteration 12 err=1.24721443653107
iteration 13 err=0.792627811431885
iteration 14 err=0.467749446630478
iteration 15 err=0.530058145523071
iteration 16 err=0.789968907833099
iteration 17 err=0.496832281351089
iteration 18 err=0.386132150888443
iteration 19 err=0.2234276086092
iteration 20 err=0.212721228599548
iter 1 psnr=34.5223943433782 dB
iter 2 psnr=34.6648141123006 dB
iter 3 psnr=34.794852426409 dB
iter 4 psnr=34.9116785687892 dB
iter 5 psnr=35.0145056911863 dB
iter 6 psnr=35.1027682716773 dB
iter 7 psnr=35.1759255787126 dB
iter 8 psnr=35.2336608691804 dB
iter 9 psnr=35.2757524809605 dB
iter 10 psnr=35.3021798417805 dB
iter 11 psnr=35.3130928134577 dB
iter 12 psnr=35.3087621056338 dB
iter 13 psnr=35.2896668349023 dB
iter 14 psnr=35.256374213287 dB
iter 15 psnr=35.2096079502287 dB
iter 16 psnr=35.1501312124736 dB
iter 17 psnr=35.0788776748539 dB
iter 18 psnr=34.9966898867347 dB
iter 19 psnr=34.9045615083574 dB
iter 20 psnr=34.8034286422986 dB
iter 21 psnr=34.6942922644271 dB
iter 22 psnr=34.5780069568973 dB
iter 23 psnr=34.4555546024928 dB
iter 24 psnr=34.3277255376141 dB
iter 25 psnr=34.1953093698838 dB
iter 26 psnr=34.0591017149438 dB
iter 27 psnr=33.9197360781051 dB
iter 28 psnr=33.7778530126781 dB
iter 29 psnr=33.6340494835159 dB
iter 30 psnr=33.488818617042 dB
iter 31 psnr=33.3426491169305 dB
iter 32 psnr=33.1959117613683 dB
iter 33 psnr=33.0489946764913 dB
iter 34 psnr=32.9022168012295 dB
iter 35 psnr=32.7558369167075 dB
iter 36 psnr=32.6101175939977 dB
iter 37 psnr=32.4652713404698 dB
iter 38 psnr=32.3215084811111 dB
iter 39 psnr=32.1789835082281 dB
iter 40 psnr=32.0378013351974 dB
iter 41 psnr=31.8981170173144 dB
iter 42 psnr=31.759975595747 dB
iter 43 psnr=31.623497387938 dB
iter 44 psnr=31.4886997864734 dB
iter 45 psnr=31.3556746392818 dB
iter 46 psnr=31.224447598188 dB
iter 47 psnr=31.0950359851309 dB
iter 48 psnr=30.9674672599001 dB
iter 49 psnr=30.8417503794574 dB
iter 50 psnr=30.717893983897 dB
iter 51 psnr=30.5958953706211 dB
iter 52 psnr=30.4757648235374 dB
iter 53 psnr=30.3574902292641 dB
iter 54 psnr=30.2410285504638 dB
iter 55 psnr=30.1264177365777 dB
iter 56 psnr=30.0135787145637 dB
iter 57 psnr=29.9025376476867 dB
iter 58 psnr=29.7932806981252 dB
iter 59 psnr=29.6857355400632 dB
iter 60 psnr=29.5799115229128 dB
iter 61 psnr=29.4757844293959 dB
iter 62 psnr=29.3733264259098 dB
iter 63 psnr=29.2725023617437 dB
iter 64 psnr=29.1732834855425 dB
iter 65 psnr=29.0756395599667 dB
iter 66 psnr=28.979535671667 dB
iter 67 psnr=28.884969248346 dB
iter 68 psnr=28.7918972574598 dB
iter 69 psnr=28.7002896318149 dB
iter 70 psnr=28.6101136186897 dB
iter 71 psnr=28.5213557220441 dB
iter 72 psnr=28.4339904635372 dB
iter 73 psnr=28.3479667742943 dB
iter 74 psnr=28.2632902934602 dB
iter 75 psnr=28.1799006607465 dB
iter 76 psnr=28.0977841118127 dB
iter 77 psnr=28.0169382360876 dB
iter 78 psnr=27.9373170200291 dB
iter 79 psnr=27.8588786898216 dB
iter 80 psnr=27.7816303852276 dB
iter 81 psnr=27.7055183522867 dB
iter 82 psnr=27.6305596003149 dB
iter 83 psnr=27.5566841464831 dB
iter 84 psnr=27.4839096285181 dB
iter 85 psnr=27.4121982390627 dB
iter 86 psnr=27.3415321201236 dB
iter 87 psnr=27.2718784076306 dB
iter 88 psnr=27.2032477209854 dB
iter 89 psnr=27.1355812267906 dB
iter 90 psnr=27.0688973313796 dB
iter 91 psnr=27.00312954944 dB
iter 92 psnr=26.9383125707408 dB
iter 93 psnr=26.8743908157194 dB
iter 94 psnr=26.8113623584138 dB
iter 95 psnr=26.7492009562268 dB
iter 96 psnr=26.6878924585644 dB
iter 97 psnr=26.6274211570876 dB
iter 98 psnr=26.5678025244722 dB
iter 99 psnr=26.5089818156558 dB
iter 100 psnr=26.4509567191991 dB
iter 101 psnr=26.3937109902751 dB
iter 102 psnr=26.3372188287178 dB
iter 103 psnr=26.2814918317494 dB
iter 104 psnr=26.2265121835953 dB
iter 105 psnr=26.172239627124 dB
iter 106 psnr=26.1186810581322 dB
iter 107 psnr=26.0657884792116 dB
iter 108 psnr=26.0135981708987 dB
iter 109 psnr=25.9620569575884 dB
iter 110 psnr=25.9112009990536 dB
iter 111 psnr=25.860973823825 dB
iter 112 psnr=25.8113913043973 dB
iter 113 psnr=25.7624133256817 dB
iter 114 psnr=25.7140711793926 dB
iter 115 psnr=25.6663032617742 dB
iter 116 psnr=25.6191535748671 dB
iter 117 psnr=25.5725545553939 dB
iter 118 psnr=25.5265466963972 dB
iter 119 psnr=25.4810719215578 dB
iter 120 psnr=25.4361719599919 dB
Processing OSSART-TV: 21560.03 ms
RESULT OSSART-TV IMAGE=abdomen RADIUS=140 PSNR=25.391790 TIME=0.100000 FILE=OSSART-TV/recon_OSSART-TV_abdomen_140.png
Processing OSSART-shearlet roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65991210938
iteration 3 err=191.171356201172
iteration 4 err=53.2240142822266
iteration 5 err=9.53465175628662
iteration 6 err=3.7976598739624
iteration 7 err=1.84279608726501
iteration 8 err=2.64731335639954
iteration 9 err=1.47480881214142
iteration 10 err=0.789621233940125
iteration 11 err=0.376265317201614
iteration 12 err=0.244827255606651
iteration 13 err=0.168452128767967
iteration 14 err=0.0964457988739014
iteration 15 err=0.0961818397045136
iteration 16 err=0.1767608076334
iteration 17 err=0.0765641778707504
iteration 18 err=0.0373202860355377
iteration 19 err=0.0358357392251492
iteration 20 err=0.0285635814070702
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=4.4381213639567 dB
iter 2 psnr=4.45892560457136 dB
iter 3 psnr=4.47963249695438 dB
iter 4 psnr=4.50024016456042 dB
iter 5 psnr=4.52075180759785 dB
iter 6 psnr=4.54116559504325 dB
iter 7 psnr=4.56148439291676 dB
iter 8 psnr=4.58170770121136 dB
iter 9 psnr=4.60183632803917 dB
iter 10 psnr=4.62186938067086 dB
iter 11 psnr=4.64180815127876 dB
iter 12 psnr=4.66165222364774 dB
iter 13 psnr=4.68140251455309 dB
iter 14 psnr=4.70105997746261 dB
iter 15 psnr=4.72062471443403 dB
iter 16 psnr=4.74009774094387 dB
iter 17 psnr=4.75947742089405 dB
iter 18 psnr=4.7787670593029 dB
iter 19 psnr=4.79796416102296 dB
iter 20 psnr=4.81707210858042 dB
iter 21 psnr=4.83608888896211 dB
iter 22 psnr=4.85501705266057 dB
iter 23 psnr=4.87385599171267 dB
iter 24 psnr=4.89260510481155 dB
iter 25 psnr=4.91126565382261 dB
iter 26 psnr=4.92983847338138 dB
iter 27 psnr=4.94832349303458 dB
iter 28 psnr=4.96672206775065 dB
iter 29 psnr=4.98503275957188 dB
iter 30 psnr=5.00325744042745 dB
iter 31 psnr=5.02139707773679 dB
iter 32 psnr=5.03944980274793 dB
iter 33 psnr=5.05741853067762 dB
iter 34 psnr=5.07530238487668 dB
iter 35 psnr=5.09310290877107 dB
iter 36 psnr=5.11081925642752 dB
iter 37 psnr=5.12845253416201 dB
iter 38 psnr=5.14600437063495 dB
iter 39 psnr=5.16347250033789 dB
iter 40 psnr=5.18086006704627 dB
iter 41 psnr=5.19816532114286 dB
iter 42 psnr=5.21538948508562 dB
iter 43 psnr=5.23253281491848 dB
iter 44 psnr=5.24959658741037 dB
iter 45 psnr=5.2665811052275 dB
iter 46 psnr=5.28348517175249 dB
iter 47 psnr=5.30031215264796 dB
iter 48 psnr=5.31706038306207 dB
iter 49 psnr=5.33373125358686 dB
iter 50 psnr=5.35032464806769 dB
iter 51 psnr=5.36684097595725 dB
iter 52 psnr=5.3832806648275 dB
iter 53 psnr=5.39964467977266 dB
iter 54 psnr=5.41593218753385 dB
iter 55 psnr=5.43214392336888 dB
iter 56 psnr=5.44828064488836 dB
iter 57 psnr=5.46434392279011 dB
iter 58 psnr=5.48033271663218 dB
iter 59 psnr=5.49624810530127 dB
iter 60 psnr=5.51208906242477 dB
iter 61 psnr=5.52785830130743 dB
iter 62 psnr=5.54355509582921 dB
iter 63 psnr=5.55917952754732 dB
iter 64 psnr=5.57473250029729 dB
iter 65 psnr=5.59021412690764 dB
iter 66 psnr=5.60562534840307 dB
iter 67 psnr=5.62096521617891 dB
iter 68 psnr=5.6362346971136 dB
iter 69 psnr=5.6514350563727 dB
iter 70 psnr=5.66656565329386 dB
iter 71 psnr=5.6816283410804 dB
iter 72 psnr=5.69662194928822 dB
iter 73 psnr=5.71154725305762 dB
iter 74 psnr=5.72640420719109 dB
iter 75 psnr=5.74119417909742 dB
iter 76 psnr=5.75591715411875 dB
iter 77 psnr=5.77057340858484 dB
iter 78 psnr=5.78516351463163 dB
iter 79 psnr=5.79968891442871 dB
iter 80 psnr=5.81414822083682 dB
iter 81 psnr=5.82854261560511 dB
iter 82 psnr=5.84287244140302 dB
iter 83 psnr=5.85713805314977 dB
iter 84 psnr=5.87134039695307 dB
iter 85 psnr=5.88547985801054 dB
iter 86 psnr=5.89955508584965 dB
iter 87 psnr=5.9135670580076 dB
iter 88 psnr=5.92751765165692 dB
iter 89 psnr=5.94140583365451 dB
iter 90 psnr=5.95523085966307 dB
iter 91 psnr=5.96899553527699 dB
iter 92 psnr=5.98269825410331 dB
iter 93 psnr=5.99634037516581 dB
iter 94 psnr=6.00992238481368 dB
iter 95 psnr=6.02344448226393 dB
iter 96 psnr=6.03690567287704 dB
iter 97 psnr=6.05030736912542 dB
iter 98 psnr=6.06365009969433 dB
iter 99 psnr=6.0769347094869 dB
iter 100 psnr=6.09016023341656 dB
iter 101 psnr=6.10332875398847 dB
iter 102 psnr=6.11643993494291 dB
iter 103 psnr=6.12949374892239 dB
iter 104 psnr=6.14249079022203 dB
iter 105 psnr=6.15543166598553 dB
iter 106 psnr=6.16831606640938 dB
iter 107 psnr=6.18114461611076 dB
iter 108 psnr=6.19391764083658 dB
iter 109 psnr=6.2066361009444 dB
iter 110 psnr=6.21930003257607 dB
iter 111 psnr=6.2319082194656 dB
iter 112 psnr=6.24446227518425 dB
iter 113 psnr=6.25696288821549 dB
iter 114 psnr=6.26940853936221 dB
iter 115 psnr=6.28180183283541 dB
iter 116 psnr=6.29414125998703 dB
iter 117 psnr=6.30642945917545 dB
iter 118 psnr=6.31866364894558 dB
iter 119 psnr=6.33084649097084 dB
iter 120 psnr=6.34297745503587 dB
Processing OSSART-shearlet: 27220.04 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=12 PSNR=6.355056 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_12.png
Processing OSSART-shearlet roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65905761719
iteration 3 err=191.171310424805
iteration 4 err=53.2240142822266
iteration 5 err=9.53464984893799
iteration 6 err=3.79732179641724
iteration 7 err=1.8102445602417
iteration 8 err=1.55470728874207
iteration 9 err=1.29992532730103
iteration 10 err=1.09729540348053
iteration 11 err=0.377860903739929
iteration 12 err=0.244836017489433
iteration 13 err=0.16845166683197
iteration 14 err=0.0963843613862991
iteration 15 err=0.0857810974121094
iteration 16 err=0.0702989548444748
iteration 17 err=0.227183312177658
iteration 18 err=0.03902742639184
iteration 19 err=0.0358404256403446
iteration 20 err=0.0285394936800003
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1 psnr=6.69934636901024 dB
iter 2 psnr=6.72656207039452 dB
iter 3 psnr=6.75366796111937 dB
iter 4 psnr=6.78066445453417 dB
iter 5 psnr=6.80755122037271 dB
iter 6 psnr=6.83433035985813 dB
iter 7 psnr=6.86100205460474 dB
iter 8 psnr=6.88756531544925 dB
iter 9 psnr=6.91402079693272 dB
iter 10 psnr=6.94036879863952 dB
iter 11 psnr=6.96661172690311 dB
iter 12 psnr=6.99274669267708 dB
iter 13 psnr=7.01877744962754 dB
iter 14 psnr=7.0447032619752 dB
iter 15 psnr=7.07052214560226 dB
iter 16 psnr=7.09623762651701 dB
iter 17 psnr=7.12185035978061 dB
iter 18 psnr=7.14735847212853 dB
iter 19 psnr=7.1727652678827 dB
iter 20 psnr=7.19806894565338 dB
iter 21 psnr=7.22327075667299 dB
iter 22 psnr=7.24837113506723 dB
iter 23 psnr=7.27337144272587 dB
iter 24 psnr=7.29826999075511 dB
iter 25 psnr=7.32307000586461 dB
iter 26 psnr=7.34776896990019 dB
iter 27 psnr=7.37236976959135 dB
iter 28 psnr=7.39687174710996 dB
iter 29 psnr=7.4212738023255 dB
iter 30 psnr=7.445578062754 dB
iter 31 psnr=7.46978580810909 dB
iter 32 psnr=7.49389511791864 dB
iter 33 psnr=7.51790780218918 dB
iter 34 psnr=7.54182291645352 dB
iter 35 psnr=7.56564330952629 dB
iter 36 psnr=7.58936811481168 dB
iter 37 psnr=7.61299743100727 dB
iter 38 psnr=7.63653138644842 dB
iter 39 psnr=7.65997110669364 dB
iter 40 psnr=7.68331776858755 dB
iter 41 psnr=7.70657064548535 dB
iter 42 psnr=7.72972951255214 dB
iter 43 psnr=7.75279614228209 dB
iter 44 psnr=7.77576889398558 dB
iter 45 psnr=7.79865011169713 dB
iter 46 psnr=7.82144020655868 dB
iter 47 psnr=7.8441391183367 dB
iter 48 psnr=7.86674630261657 dB
iter 49 psnr=7.8892632670002 dB
iter 50 psnr=7.9116905494858 dB
iter 51 psnr=7.93402717736072 dB
iter 52 psnr=7.95627476976917 dB
iter 53 psnr=7.97843396146873 dB
iter 54 psnr=8.00050463823181 dB
iter 55 psnr=8.02248749434753 dB
iter 56 psnr=8.04438167526469 dB
iter 57 psnr=8.06618898608943 dB
iter 58 psnr=8.08790942218044 dB
iter 59 psnr=8.10954434089693 dB
iter 60 psnr=8.13109299169281 dB
iter 61 psnr=8.15255462974061 dB
iter 62 psnr=8.17393314310865 dB
iter 63 psnr=8.19522595272987 dB
iter 64 psnr=8.2164331970686 dB
iter 65 psnr=8.23755835164146 dB
iter 66 psnr=8.25859831861183 dB
iter 67 psnr=8.2795566520388 dB
iter 68 psnr=8.30043166985727 dB
iter 69 psnr=8.32122392869268 dB
iter 70 psnr=8.34193486331573 dB
iter 71 psnr=8.3625639645397 dB
iter 72 psnr=8.3831107315397 dB
iter 73 psnr=8.40357696767329 dB
iter 74 psnr=8.42396222183631 dB
iter 75 psnr=8.44426721054052 dB
iter 76 psnr=8.46449384514661 dB
iter 77 psnr=8.48463970433118 dB
iter 78 psnr=8.50470645047773 dB
iter 79 psnr=8.52469461341604 dB
iter 80 psnr=8.54460593494241 dB
iter 81 psnr=8.56443833389032 dB
iter 82 psnr=8.58419329657892 dB
iter 83 psnr=8.60387115049641 dB
iter 84 psnr=8.6234719429049 dB
iter 85 psnr=8.64299664709053 dB
iter 86 psnr=8.66244535549037 dB
iter 87 psnr=8.68181787134118 dB
iter 88 psnr=8.70111616044695 dB
iter 89 psnr=8.7203397690861 dB
iter 90 psnr=8.73948793986172 dB
iter 91 psnr=8.75856178477829 dB
iter 92 psnr=8.77756276254995 dB
iter 93 psnr=8.7964889161181 dB
iter 94 psnr=8.81534300043326 dB
iter 95 psnr=8.83412307936307 dB
iter 96 psnr=8.85283101540739 dB
iter 97 psnr=8.87146711880628 dB
iter 98 psnr=8.89003171830872 dB
iter 99 psnr=8.90852451665091 dB
iter 100 psnr=8.92694619551425 dB
iter 101 psnr=8.94529746099334 dB
iter 102 psnr=8.96357871729453 dB
iter 103 psnr=8.98178973220148 dB
iter 104 psnr=8.99993094024411 dB
iter 105 psnr=9.01800345654805 dB
iter 106 psnr=9.03600643521482 dB
iter 107 psnr=9.05394136126476 dB
iter 108 psnr=9.07180674391162 dB
iter 109 psnr=9.0896034317655 dB
iter 110 psnr=9.10733297388798 dB
iter 111 psnr=9.12499526201879 dB
iter 112 psnr=9.14258951686547 dB
iter 113 psnr=9.16011769003443 dB
iter 114 psnr=9.17757903223002 dB
iter 115 psnr=9.19497382573867 dB
iter 116 psnr=9.21230340517633 dB
iter 117 psnr=9.22956705467301 dB
iter 118 psnr=9.24676579952036 dB
iter 119 psnr=9.26389999197228 dB
iter 120 psnr=9.2809696487696 dB
Processing OSSART-shearlet: 28115.04 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=16 PSNR=9.297975 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_16.png
Processing OSSART-shearlet roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65881347656
iteration 3 err=191.171203613281
iteration 4 err=53.2239799499512
iteration 5 err=9.53464603424072
iteration 6 err=3.79732251167297
iteration 7 err=1.8103996515274
iteration 8 err=1.56158494949341
iteration 9 err=1.33682548999786
iteration 10 err=1.07033026218414
iteration 11 err=0.377698630094528
iteration 12 err=0.244835197925568
iteration 13 err=0.168451532721519
iteration 14 err=0.0963838174939156
iteration 15 err=0.0857131332159042
iteration 16 err=0.0674355253577232
iteration 17 err=0.158949375152588
iteration 18 err=0.0432336293160915
iteration 19 err=0.0358651243150234
iteration 20 err=0.0289081688970327
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=10.1746087611453 dB
iter 2 psnr=10.2158780662895 dB
iter 3 psnr=10.2570438020936 dB
iter 4 psnr=10.2981067375948 dB
iter 5 psnr=10.3390677708358 dB
iter 6 psnr=10.3799263218217 dB
iter 7 psnr=10.4206835119878 dB
iter 8 psnr=10.4613397815863 dB
iter 9 psnr=10.5018931983858 dB
iter 10 psnr=10.542345196856 dB
iter 11 psnr=10.5826973606227 dB
iter 12 psnr=10.6229484454074 dB
iter 13 psnr=10.6630976828803 dB
iter 14 psnr=10.7031456701885 dB
iter 15 psnr=10.7430926812736 dB
iter 16 psnr=10.7829399753504 dB
iter 17 psnr=10.8226867192625 dB
iter 18 psnr=10.8623339385525 dB
iter 19 psnr=10.9018800610545 dB
iter 20 psnr=10.9413276694325 dB
iter 21 psnr=10.9806753672431 dB
iter 22 psnr=11.019924126669 dB
iter 23 psnr=11.0590731584356 dB
iter 24 psnr=11.0981236305573 dB
iter 25 psnr=11.1370758798402 dB
iter 26 psnr=11.1759308230126 dB
iter 27 psnr=11.214685589025 dB
iter 28 psnr=11.2533436872406 dB
iter 29 psnr=11.2919043649148 dB
iter 30 psnr=11.3303659210095 dB
iter 31 psnr=11.3687337536728 dB
iter 32 psnr=11.4070012910455 dB
iter 33 psnr=11.4451731280222 dB
iter 34 psnr=11.4832478727081 dB
iter 35 psnr=11.521225733109 dB
iter 36 psnr=11.55910805914 dB
iter 37 psnr=11.5968947266324 dB
iter 38 psnr=11.6345856832255 dB
iter 39 psnr=11.6721801371381 dB
iter 40 psnr=11.7096798055427 dB
iter 41 psnr=11.7470837820292 dB
iter 42 psnr=11.7843931501243 dB
iter 43 psnr=11.8216082626919 dB
iter 44 psnr=11.8587272933892 dB
iter 45 psnr=11.8957538485986 dB
iter 46 psnr=11.9326845338415 dB
iter 47 psnr=11.9695217155496 dB
iter 48 psnr=12.0062652771214 dB
iter 49 psnr=12.0429151678419 dB
iter 50 psnr=12.0794714047439 dB
iter 51 psnr=12.1159340744864 dB
iter 52 psnr=12.1523045464496 dB
iter 53 psnr=12.1885806399954 dB
iter 54 psnr=12.2247660184487 dB
iter 55 psnr=12.2608573944433 dB
iter 56 psnr=12.2968580104598 dB
iter 57 psnr=12.3327640234176 dB
iter 58 psnr=12.3685788474304 dB
iter 59 psnr=12.4043015830875 dB
iter 60 psnr=12.4399329828944 dB
iter 61 psnr=12.4754709523261 dB
iter 62 psnr=12.5109196397958 dB
iter 63 psnr=12.5462764306044 dB
iter 64 psnr=12.58154236288 dB
iter 65 psnr=12.6167175598608 dB
iter 66 psnr=12.6518015306957 dB
iter 67 psnr=12.6867965691812 dB
iter 68 psnr=12.7216999255973 dB
iter 69 psnr=12.756513692863 dB
iter 70 psnr=12.7912372849873 dB
iter 71 psnr=12.8258715703861 dB
iter 72 psnr=12.8604160782172 dB
iter 73 psnr=12.8948721768453 dB
iter 74 psnr=12.9292391631763 dB
iter 75 psnr=12.9635163685445 dB
iter 76 psnr=12.997707206448 dB
iter 77 psnr=13.0318067269504 dB
iter 78 psnr=13.0658192212581 dB
iter 79 psnr=13.0997435226617 dB
iter 80 psnr=13.1335781026595 dB
iter 81 psnr=13.1673271774216 dB
iter 82 psnr=13.2009878247363 dB
iter 83 psnr=13.2345609691187 dB
iter 84 psnr=13.2680484003095 dB
iter 85 psnr=13.3014460983135 dB
iter 86 psnr=13.3347583197045 dB
iter 87 psnr=13.3679854989173 dB
iter 88 psnr=13.4011245014396 dB
iter 89 psnr=13.434179062335 dB
iter 90 psnr=13.4671465241871 dB
iter 91 psnr=13.5000270890971 dB
iter 92 psnr=13.5328222640013 dB
iter 93 psnr=13.565531974348 dB
iter 94 psnr=13.5981587267985 dB
iter 95 psnr=13.6306979170038 dB
iter 96 psnr=13.6631534254413 dB
iter 97 psnr=13.6955241138215 dB
iter 98 psnr=13.7278127738226 dB
iter 99 psnr=13.7600157505684 dB
iter 100 psnr=13.79213374344 dB
iter 101 psnr=13.8241679645242 dB
iter 102 psnr=13.8561201563813 dB
iter 103 psnr=13.8879867396468 dB
iter 104 psnr=13.9197699878448 dB
iter 105 psnr=13.9514704540736 dB
iter 106 psnr=13.9830869058738 dB
iter 107 psnr=14.0146199786131 dB
iter 108 psnr=14.0460703704228 dB
iter 109 psnr=14.0774393151238 dB
iter 110 psnr=14.10872432447 dB
iter 111 psnr=14.1399276662322 dB
iter 112 psnr=14.1710468967718 dB
iter 113 psnr=14.2020848841191 dB
iter 114 psnr=14.2330421765304 dB
iter 115 psnr=14.2639164247565 dB
iter 116 psnr=14.2947097165788 dB
iter 117 psnr=14.3254202451563 dB
iter 118 psnr=14.3560507194812 dB
iter 119 psnr=14.386599407334 dB
iter 120 psnr=14.4170676276563 dB
Processing OSSART-shearlet: 30310.04 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=24 PSNR=14.447456 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_24.png
Processing OSSART-shearlet roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65856933594
iteration 3 err=191.171234130859
iteration 4 err=53.223991394043
iteration 5 err=9.53464698791504
iteration 6 err=3.7973301410675
iteration 7 err=1.810955286026
iteration 8 err=1.5863276720047
iteration 9 err=1.4469553232193
iteration 10 err=1.00140631198883
iteration 11 err=0.377306580543518
iteration 12 err=0.244833260774612
iteration 13 err=0.168451920151711
iteration 14 err=0.0963843688368797
iteration 15 err=0.0857519134879112
iteration 16 err=0.0690679028630257
iteration 17 err=0.215600743889809
iteration 18 err=0.0397923327982426
iteration 19 err=0.0358481146395206
iteration 20 err=0.028697207570076
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874}, { 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1 psnr=12.7674704457076 dB
iter 2 psnr=12.8232400919079 dB
iter 3 psnr=12.8789566143821 dB
iter 4 psnr=12.9346174861239 dB
iter 5 psnr=12.990222276293 dB
iter 6 psnr=13.0457723715061 dB
iter 7 psnr=13.1012681460041 dB
iter 8 psnr=13.1567080391451 dB
iter 9 psnr=13.2120927429917 dB
iter 10 psnr=13.2674222872629 dB
iter 11 psnr=13.3226955501813 dB
iter 12 psnr=13.3779137684978 dB
iter 13 psnr=13.4330761468853 dB
iter 14 psnr=13.4881829421366 dB
iter 15 psnr=13.5432341317392 dB
iter 16 psnr=13.5982298644858 dB
iter 17 psnr=13.6531704686417 dB
iter 18 psnr=13.7080550091425 dB
iter 19 psnr=13.7628816938951 dB
iter 20 psnr=13.8176512909454 dB
iter 21 psnr=13.8723657839953 dB
iter 22 psnr=13.9270253928019 dB
iter 23 psnr=13.9816269098606 dB
iter 24 psnr=14.0361728712313 dB
iter 25 psnr=14.0906618846758 dB
iter 26 psnr=14.1450929218316 dB
iter 27 psnr=14.1994669659149 dB
iter 28 psnr=14.2537852176362 dB
iter 29 psnr=14.3080463275062 dB
iter 30 psnr=14.3622501675682 dB
iter 31 psnr=14.4163979077045 dB
iter 32 psnr=14.4704851757796 dB
iter 33 psnr=14.5245177600712 dB
iter 34 psnr=14.5784921526532 dB
iter 35 psnr=14.6324081224597 dB
iter 36 psnr=14.6862664994032 dB
iter 37 psnr=14.7400658640998 dB
iter 38 psnr=14.7938076833784 dB
iter 39 psnr=14.8474914587803 dB
iter 40 psnr=14.9011155543956 dB
iter 41 psnr=14.9546780914068 dB
iter 42 psnr=15.0081841113051 dB
iter 43 psnr=15.0616291587318 dB
iter 44 psnr=15.1150140656376 dB
iter 45 psnr=15.1683378350882 dB
iter 46 psnr=15.2216012942702 dB
iter 47 psnr=15.2748058182707 dB
iter 48 psnr=15.327947389353 dB
iter 49 psnr=15.3810290594691 dB
iter 50 psnr=15.4340487923621 dB
iter 51 psnr=15.4870082515182 dB
iter 52 psnr=15.5399056522716 dB
iter 53 psnr=15.5927385317994 dB
iter 54 psnr=15.6455097537103 dB
iter 55 psnr=15.6982190381082 dB
iter 56 psnr=15.7508639240437 dB
iter 57 psnr=15.8034443367732 dB
iter 58 psnr=15.8559603547883 dB
iter 59 psnr=15.9084126181546 dB
iter 60 psnr=15.9607982969395 dB
iter 61 psnr=16.013119101895 dB
iter 62 psnr=16.0653724049257 dB
iter 63 psnr=16.1175606599226 dB
iter 64 psnr=16.169681479637 dB
iter 65 psnr=16.221735966546 dB
iter 66 psnr=16.2737201912291 dB
iter 67 psnr=16.3256350494065 dB
iter 68 psnr=16.3774829778101 dB
iter 69 psnr=16.429262159104 dB
iter 70 psnr=16.4809676347158 dB
iter 71 psnr=16.532602240896 dB
iter 72 psnr=16.5841676994048 dB
iter 73 psnr=16.6356583740836 dB
iter 74 psnr=16.6870761957523 dB
iter 75 psnr=16.7384213992654 dB
iter 76 psnr=16.7896924171976 dB
iter 77 psnr=16.8408887555541 dB
iter 78 psnr=16.8920100503862 dB
iter 79 psnr=16.9430560737567 dB
iter 80 psnr=16.9940236472569 dB
iter 81 psnr=17.0449119417966 dB
iter 82 psnr=17.0957223545237 dB
iter 83 psnr=17.146454100706 dB
iter 84 psnr=17.1971035409127 dB
iter 85 psnr=17.2476719358083 dB
iter 86 psnr=17.2981582727322 dB
iter 87 psnr=17.3485616452023 dB
iter 88 psnr=17.3988809752471 dB
iter 89 psnr=17.4491164332294 dB
iter 90 psnr=17.4992689304412 dB
iter 91 psnr=17.549333716155 dB
iter 92 psnr=17.5993118962939 dB
iter 93 psnr=17.6492014864996 dB
iter 94 psnr=17.6990029892266 dB
iter 95 psnr=17.7487143247346 dB
iter 96 psnr=17.7983347113202 dB
iter 97 psnr=17.847863171849 dB
iter 98 psnr=17.8972985211782 dB
iter 99 psnr=17.9466409577947 dB
iter 100 psnr=17.9958879223355 dB
iter 101 psnr=18.045038861905 dB
iter 102 psnr=18.0940916932599 dB
iter 103 psnr=18.1430447289081 dB
iter 104 psnr=18.1918980583037 dB
iter 105 psnr=18.2406491838252 dB
iter 106 psnr=18.2892970395026 dB
iter 107 psnr=18.3378427749451 dB
iter 108 psnr=18.3862831313739 dB
iter 109 psnr=18.4346166540878 dB
iter 110 psnr=18.4828441585223 dB
iter 111 psnr=18.5309604119238 dB
iter 112 psnr=18.5789682709675 dB
iter 113 psnr=18.6268629958249 dB
iter 114 psnr=18.6746447256599 dB
iter 115 psnr=18.7223126133351 dB
iter 116 psnr=18.7698632165266 dB
iter 117 psnr=18.8172958440216 dB
iter 118 psnr=18.8646115193616 dB
iter 119 psnr=18.9118050569149 dB
iter 120 psnr=18.958877279172 dB
Processing OSSART-shearlet: 33220.05 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=32 PSNR=19.005824 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_32.png
Processing OSSART-shearlet roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65808105469
iteration 3 err=191.17121887207
iteration 4 err=53.2239761352539
iteration 5 err=9.53464889526367
iteration 6 err=3.79766845703125
iteration 7 err=1.84362864494324
iteration 8 err=2.66756224632263
iteration 9 err=1.46939730644226
iteration 10 err=0.789244592189789
iteration 11 err=0.376263588666916
iteration 12 err=0.244827121496201
iteration 13 err=0.168451309204102
iteration 14 err=0.0963984280824661
iteration 15 err=0.0882909819483757
iteration 16 err=0.137920200824738
iteration 17 err=0.0946285352110863
iteration 18 err=0.0373673476278782
iteration 19 err=0.0358359962701797
iteration 20 err=0.0285783000290394
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=17.2977599154536 dB
iter 2 psnr=17.3876165041602 dB
iter 3 psnr=17.4776475180506 dB
iter 4 psnr=17.5678519604603 dB
iter 5 psnr=17.6582304778201 dB
iter 6 psnr=17.7487847151141 dB
iter 7 psnr=17.8395090610357 dB
iter 8 psnr=17.9304120499288 dB
iter 9 psnr=18.0214879705641 dB
iter 10 psnr=18.1127366660861 dB
iter 11 psnr=18.204158996108 dB
iter 12 psnr=18.2957529205169 dB
iter 13 psnr=18.3875198163165 dB
iter 14 psnr=18.4794571032113 dB
iter 15 psnr=18.5715680265886 dB
iter 16 psnr=18.6638454559135 dB
iter 17 psnr=18.7562920727353 dB
iter 18 psnr=18.8489045901158 dB
iter 19 psnr=18.9416827822218 dB
iter 20 psnr=19.0346232241861 dB
iter 21 psnr=19.1277268080629 dB
iter 22 psnr=19.2209881207393 dB
iter 23 psnr=19.3144068719754 dB
iter 24 psnr=19.4079796789008 dB
iter 25 psnr=19.5017025816269 dB
iter 26 psnr=19.5955743263666 dB
iter 27 psnr=19.6895907030278 dB
iter 28 psnr=19.7837481407737 dB
iter 29 psnr=19.8780433441451 dB
iter 30 psnr=19.9724692357995 dB
iter 31 psnr=20.067023383149 dB
iter 32 psnr=20.1616999777232 dB
iter 33 psnr=20.2564938365553 dB
iter 34 psnr=20.3514009846559 dB
iter 35 psnr=20.4464147418279 dB
iter 36 psnr=20.5415285431648 dB
iter 37 psnr=20.6367354412399 dB
iter 38 psnr=20.7320288953172 dB
iter 39 psnr=20.8274006201066 dB
iter 40 psnr=20.9228435243621 dB
iter 41 psnr=21.0183466580519 dB
iter 42 psnr=21.1139042714262 dB
iter 43 psnr=21.2095052376299 dB
iter 44 psnr=21.305139268109 dB
iter 45 psnr=21.4007964100671 dB
iter 46 psnr=21.4964638834647 dB
iter 47 psnr=21.5921310809374 dB
iter 48 psnr=21.6877847858283 dB
iter 49 psnr=21.7834130548076 dB
iter 50 psnr=21.8789976373763 dB
iter 51 psnr=21.9745295443395 dB
iter 52 psnr=22.0699928092373 dB
iter 53 psnr=22.1653690083655 dB
iter 54 psnr=22.2606435910768 dB
iter 55 psnr=22.3557984942798 dB
iter 56 psnr=22.450816626565 dB
iter 57 psnr=22.5456766846076 dB
iter 58 psnr=22.6403628340866 dB
iter 59 psnr=22.7348481912269 dB
iter 60 psnr=22.8291134176065 dB
iter 61 psnr=22.9231377700884 dB
iter 62 psnr=23.016894875617 dB
iter 63 psnr=23.1103610843072 dB
iter 64 psnr=23.2035129821576 dB
iter 65 psnr=23.2963216197907 dB
iter 66 psnr=23.3887559833693 dB
iter 67 psnr=23.4807930779457 dB
iter 68 psnr=23.5723982996205 dB
iter 69 psnr=23.6635447556033 dB
iter 70 psnr=23.754200067055 dB
iter 71 psnr=23.844329752183 dB
iter 72 psnr=23.9339030572897 dB
iter 73 psnr=24.0228807330481 dB
iter 74 psnr=24.1112319499334 dB
iter 75 psnr=24.198918730083 dB
iter 76 psnr=24.2859020603964 dB
iter 77 psnr=24.3721425322651 dB
iter 78 psnr=24.4576016994144 dB
iter 79 psnr=24.5422367508222 dB
iter 80 psnr=24.6260075009302 dB
iter 81 psnr=24.7088723702588 dB
iter 82 psnr=24.7907856018703 dB
iter 83 psnr=24.8717064725622 dB
iter 84 psnr=24.951587004977 dB
iter 85 psnr=25.0303834343696 dB
iter 86 psnr=25.1080511599564 dB
iter 87 psnr=25.1845421354115 dB
iter 88 psnr=25.259808905699 dB
iter 89 psnr=25.3338040025689 dB
iter 90 psnr=25.4064848331648 dB
iter 91 psnr=25.4777976286595 dB
iter 92 psnr=25.5476983871171 dB
iter 93 psnr=25.6161425301217 dB
iter 94 psnr=25.6830794335512 dB
iter 95 psnr=25.7484675385662 dB
iter 96 psnr=25.8122576805945 dB
iter 97 psnr=25.8744089861812 dB
iter 98 psnr=25.9348738446945 dB
iter 99 psnr=25.9936134331285 dB
iter 100 psnr=26.0505827118643 dB
iter 101 psnr=26.1057440789601 dB
iter 102 psnr=26.1590575062737 dB
iter 103 psnr=26.2104866490888 dB
iter 104 psnr=26.2599995914742 dB
iter 105 psnr=26.307560314363 dB
iter 106 psnr=26.3531363966838 dB
iter 107 psnr=26.3966997302353 dB
iter 108 psnr=26.4382257352359 dB
iter 109 psnr=26.4776879209793 dB
iter 110 psnr=26.5150675346903 dB
iter 111 psnr=26.5503430097065 dB
iter 112 psnr=26.583499722663 dB
iter 113 psnr=26.6145241860457 dB
iter 114 psnr=26.6434074722481 dB
iter 115 psnr=26.6701407855052 dB
iter 116 psnr=26.6947212839196 dB
iter 117 psnr=26.7171454556944 dB
iter 118 psnr=26.7374144240995 dB
iter 119 psnr=26.7555345182355 dB
iter 120 psnr=26.7715118412602 dB
Processing OSSART-shearlet: 37460.05 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=48 PSNR=26.785359 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_48.png
Processing OSSART-shearlet roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65905761719
iteration 3 err=191.171279907227
iteration 4 err=53.2240180969238
iteration 5 err=9.53464984893799
iteration 6 err=3.79732203483582
iteration 7 err=1.81039142608643
iteration 8 err=1.56133949756622
iteration 9 err=1.33557832241058
iteration 10 err=1.0712012052536
iteration 11 err=0.377702921628952
iteration 12 err=0.244834393262863
iteration 13 err=0.168450951576233
iteration 14 err=0.0963832661509514
iteration 15 err=0.0856973677873611
iteration 16 err=0.0667726099491119
iteration 17 err=0.10473870486021
iteration 18 err=0.0506497882306576
iteration 19 err=0.0358788408339024
iteration 20 err=0.0286025423556566
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969}, { 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531}, { 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673}, 0.0943808983544832}
iter 1 psnr=20.8046007430469 dB
iter 2 psnr=20.933611794872 dB
iter 3 psnr=21.0631698153671 dB
iter 4 psnr=21.193273378937 dB
iter 5 psnr=21.323915750088 dB
iter 6 psnr=21.4550884028076 dB
iter 7 psnr=21.5867871049973 dB
iter 8 psnr=21.7190004493956 dB
iter 9 psnr=21.8517178336713 dB
iter 10 psnr=21.9849317172842 dB
iter 11 psnr=22.1186264778976 dB
iter 12 psnr=22.2527867038703 dB
iter 13 psnr=22.3873951369018 dB
iter 14 psnr=22.5224357259466 dB
iter 15 psnr=22.6578854359275 dB
iter 16 psnr=22.7937220681973 dB
iter 17 psnr=22.9299215604125 dB
iter 18 psnr=23.066455007596 dB
iter 19 psnr=23.2032947966363 dB
iter 20 psnr=23.3404064577464 dB
iter 21 psnr=23.4777543626927 dB
iter 22 psnr=23.6152982764052 dB
iter 23 psnr=23.7529971691609 dB
iter 24 psnr=23.8908006047087 dB
iter 25 psnr=24.0286644389466 dB
iter 26 psnr=24.1665334748572 dB
iter 27 psnr=24.3043472871347 dB
iter 28 psnr=24.4420455416142 dB
iter 29 psnr=24.5795592818241 dB
iter 30 psnr=24.7168161086196 dB
iter 31 psnr=24.8537405769521 dB
iter 32 psnr=24.9902482071613 dB
iter 33 psnr=25.1262521680665 dB
iter 34 psnr=25.2616545208851 dB
iter 35 psnr=25.3963616160346 dB
iter 36 psnr=25.5302653576074 dB
iter 37 psnr=25.663249237171 dB
iter 38 psnr=25.7952000850681 dB
iter 39 psnr=25.9259893949386 dB
iter 40 psnr=26.0554871296876 dB
iter 41 psnr=26.1835590265876 dB
iter 42 psnr=26.3100587151601 dB
iter 43 psnr=26.4348379667135 dB
iter 44 psnr=26.5577440419794 dB
iter 45 psnr=26.6786108676534 dB
iter 46 psnr=26.7972757909482 dB
iter 47 psnr=26.9135683218173 dB
iter 48 psnr=27.0273160421379 dB
iter 49 psnr=27.1383395463228 dB
iter 50 psnr=27.2464581581187 dB
iter 51 psnr=27.3514895698214 dB
iter 52 psnr=27.4532529524108 dB
iter 53 psnr=27.5515695307178 dB
iter 54 psnr=27.6462567884694 dB
iter 55 psnr=27.7371390031183 dB
iter 56 psnr=27.8240439093352 dB
iter 57 psnr=27.9068043496657 dB
iter 58 psnr=27.9852604102128 dB
iter 59 psnr=28.0592612444346 dB
iter 60 psnr=28.1286685912214 dB
iter 61 psnr=28.1933494195574 dB
iter 62 psnr=28.2531909277798 dB
iter 63 psnr=28.3080844295339 dB
iter 64 psnr=28.3579478168556 dB
iter 65 psnr=28.4027067222213 dB
iter 66 psnr=28.4423074055345 dB
iter 67 psnr=28.4767130124415 dB
iter 68 psnr=28.5059053053186 dB
iter 69 psnr=28.5298816637658 dB
iter 70 psnr=28.5486609721624 dB
iter 71 psnr=28.5622806874663 dB
iter 72 psnr=28.5707917580437 dB
iter 73 psnr=28.5742667254863 dB
iter 74 psnr=28.5727896632829 dB
iter 75 psnr=28.5664658060274 dB
iter 76 psnr=28.5554060828742 dB
iter 77 psnr=28.5397420317902 dB
iter 78 psnr=28.5196133586415 dB
iter 79 psnr=28.4951697652944 dB
iter 80 psnr=28.4665708588215 dB
iter 81 psnr=28.433981063726 dB
iter 82 psnr=28.3975740367407 dB
iter 83 psnr=28.3575245056705 dB
iter 84 psnr=28.3140157657545 dB
iter 85 psnr=28.2672273258333 dB
iter 86 psnr=28.2173429231987 dB
iter 87 psnr=28.1645454030841 dB
iter 88 psnr=28.1090098815273 dB
iter 89 psnr=28.0509208509371 dB
iter 90 psnr=27.9904515717922 dB
iter 91 psnr=27.9277710514971 dB
iter 92 psnr=27.8630450289331 dB
iter 93 psnr=27.7964419418111 dB
iter 94 psnr=27.7281102006642 dB
iter 95 psnr=27.6582055621053 dB
iter 96 psnr=27.5868703147861 dB
iter 97 psnr=27.5142427368758 dB
iter 98 psnr=27.4404514583943 dB
iter 99 psnr=27.3656254893646 dB
iter 100 psnr=27.2898822895258 dB
iter 101 psnr=27.2133383854169 dB
iter 102 psnr=27.1360973567714 dB
iter 103 psnr=27.0582632511593 dB
iter 104 psnr=26.979927652654 dB
iter 105 psnr=26.9011817405691 dB
iter 106 psnr=26.8221101249704 dB
iter 107 psnr=26.7427899050695 dB
iter 108 psnr=26.6632949317389 dB
iter 109 psnr=26.5836929199993 dB
iter 110 psnr=26.504048062901 dB
iter 111 psnr=26.4244183172512 dB
iter 112 psnr=26.3448582626243 dB
iter 113 psnr=26.2654195049685 dB
iter 114 psnr=26.1861470493251 dB
iter 115 psnr=26.1070857758783 dB
iter 116 psnr=26.0282746643909 dB
iter 117 psnr=25.9497502348864 dB
iter 118 psnr=25.871546912996 dB
iter 119 psnr=25.7936915147815 dB
iter 120 psnr=25.7162170075061 dB
Processing OSSART-shearlet: 37565.05 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=64 PSNR=25.639144 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_64.png
Processing OSSART-shearlet roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65905761719
iteration 3 err=191.171310424805
iteration 4 err=53.2240142822266
iteration 5 err=9.53465175628662
iteration 6 err=3.79732966423035
iteration 7 err=1.81069350242615
iteration 8 err=1.57465147972107
iteration 9 err=1.39904308319092
iteration 10 err=1.0295661687851
iteration 11 err=0.377463400363922
iteration 12 err=0.244833886623383
iteration 13 err=0.168451458215714
iteration 14 err=0.096383772790432
iteration 15 err=0.0857111811637878
iteration 16 err=0.0673504769802094
iteration 17 err=0.153493672609329
iteration 18 err=0.0436893254518509
iteration 19 err=0.0358541458845139
iteration 20 err=0.0285233743488789
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1 psnr=24.3554781018635 dB
iter 2 psnr=24.5376384785031 dB
iter 3 psnr=24.7208028705864 dB
iter 4 psnr=24.904913627706 dB
iter 5 psnr=25.0898931429041 dB
iter 6 psnr=25.2756607114212 dB
iter 7 psnr=25.462117849151 dB
iter 8 psnr=25.6491593228515 dB
iter 9 psnr=25.8366641702685 dB
iter 10 psnr=26.0244903431167 dB
iter 11 psnr=26.2124864748818 dB
iter 12 psnr=26.4004749425073 dB
iter 13 psnr=26.5882661518513 dB
iter 14 psnr=26.7756486514304 dB
iter 15 psnr=26.9623821011245 dB
iter 16 psnr=27.1482097405977 dB
iter 17 psnr=27.3328476301229 dB
iter 18 psnr=27.5159815419976 dB
iter 19 psnr=27.6972752372007 dB
iter 20 psnr=27.8763623239757 dB
iter 21 psnr=28.0528505991526 dB
iter 22 psnr=28.2263182152605 dB
iter 23 psnr=28.3963178710515 dB
iter 24 psnr=28.5623724829416 dB
iter 25 psnr=28.7239883129668 dB
iter 26 psnr=28.8806445043745 dB
iter 27 psnr=29.0318070380076 dB
iter 28 psnr=29.1769289572958 dB
iter 29 psnr=29.3154547410384 dB
iter 30 psnr=29.4468348187812 dB
iter 31 psnr=29.5705178346217 dB
iter 32 psnr=29.6859765246018 dB
iter 33 psnr=29.7927023037441 dB
iter 34 psnr=29.8902231540146 dB
iter 35 psnr=29.9781097850028 dB
iter 36 psnr=30.0559868897447 dB
iter 37 psnr=30.1235334143733 dB
iter 38 psnr=30.1804999659029 dB
iter 39 psnr=30.2267114802574 dB
iter 40 psnr=30.2620635724544 dB
iter 41 psnr=30.2865382615526 dB
iter 42 psnr=30.3001953423597 dB
iter 43 psnr=30.3031725135778 dB
iter 44 psnr=30.2956889621669 dB
iter 45 psnr=30.2780256037381 dB
iter 46 psnr=30.2505316273196 dB
iter 47 psnr=30.2136113572139 dB
iter 48 psnr=30.1677147552273 dB
iter 49 psnr=30.1133334594402 dB
iter 50 psnr=30.0509859188995 dB
iter 51 psnr=29.9812129883881 dB
iter 52 psnr=29.9045647152946 dB
iter 53 psnr=29.8215961537531 dB
iter 54 psnr=29.7328585852714 dB
iter 55 psnr=29.638894867283 dB
iter 56 psnr=29.5402314777213 dB
iter 57 psnr=29.4373783783893 dB
iter 58 psnr=29.3308218343665 dB
iter 59 psnr=29.2210237697213 dB
iter 60 psnr=29.1084189647121 dB
iter 61 psnr=28.9934134253757 dB
iter 62 psnr=28.8763904300502 dB
iter 63 psnr=28.7576981265738 dB
iter 64 psnr=28.6376653205312 dB
iter 65 psnr=28.5165856522826 dB
iter 66 psnr=28.3947359030328 dB
iter 67 psnr=28.2723629875824 dB
iter 68 psnr=28.1496918527944 dB
iter 69 psnr=28.0269240624869 dB
iter 70 psnr=27.9042467668364 dB
iter 71 psnr=27.7818206999711 dB
iter 72 psnr=27.6597950317599 dB
iter 73 psnr=27.5382969392724 dB
iter 74 psnr=27.4174441064416 dB
iter 75 psnr=27.2973403788655 dB
iter 76 psnr=27.1780739316155 dB
iter 77 psnr=27.0597208669154 dB
iter 78 psnr=26.9423499915145 dB
iter 79 psnr=26.8260225776657 dB
iter 80 psnr=26.7107868231906 dB
iter 81 psnr=26.5966893792298 dB
iter 82 psnr=26.4837614084347 dB
iter 83 psnr=26.3720349558449 dB
iter 84 psnr=26.2615336530405 dB
iter 85 psnr=26.1522759965897 dB
iter 86 psnr=26.0442755460027 dB
iter 87 psnr=25.9375437035605 dB
iter 88 psnr=25.832090546275 dB
iter 89 psnr=25.7279154072019 dB
iter 90 psnr=25.6250210074554 dB
iter 91 psnr=25.523407780541 dB
iter 92 psnr=25.4230701109185 dB
iter 93 psnr=25.3240042977807 dB
iter 94 psnr=25.2262031513325 dB
iter 95 psnr=25.1296553157361 dB
iter 96 psnr=25.0343551749161 dB
iter 97 psnr=24.9402871349573 dB
iter 98 psnr=24.8474435160122 dB
iter 99 psnr=24.7558072941154 dB
iter 100 psnr=24.665367048204 dB
iter 101 psnr=24.5761077018349 dB
iter 102 psnr=24.4880164644309 dB
iter 103 psnr=24.4010767485688 dB
iter 104 psnr=24.3152725681432 dB
iter 105 psnr=24.230588949596 dB
iter 106 psnr=24.1470101584771 dB
iter 107 psnr=24.0645181243032 dB
iter 108 psnr=23.9831013282303 dB
iter 109 psnr=23.9027405015737 dB
iter 110 psnr=23.8234192665441 dB
iter 111 psnr=23.7451231301493 dB
iter 112 psnr=23.6678362844125 dB
iter 113 psnr=23.5915391141663 dB
iter 114 psnr=23.5162196351074 dB
iter 115 psnr=23.4418608866421 dB
iter 116 psnr=23.3684467271689 dB
iter 117 psnr=23.2959617900236 dB
iter 118 psnr=23.2243900604879 dB
iter 119 psnr=23.1537183483466 dB
iter 120 psnr=23.0839303968849 dB
Processing OSSART-shearlet: 37430.05 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=80 PSNR=23.015012 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_80.png
Processing OSSART-shearlet roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.6591796875
iteration 3 err=191.171356201172
iteration 4 err=53.2240257263184
iteration 5 err=9.53464889526367
iteration 6 err=3.79732227325439
iteration 7 err=1.81020891666412
iteration 8 err=1.55307340621948
iteration 9 err=1.29069292545319
iteration 10 err=1.10442197322845
iteration 11 err=0.377904832363129
iteration 12 err=0.244836047291756
iteration 13 err=0.168451324105263
iteration 14 err=0.0963835567235947
iteration 15 err=0.0857087895274162
iteration 16 err=0.0672579854726791
iteration 17 err=0.147141799330711
iteration 18 err=0.0442703813314438
iteration 19 err=0.0358643233776093
iteration 20 err=0.0287937987595797
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808934206321}
iter 1 psnr=28.1184278307912 dB
iter 2 psnr=28.3748054613772 dB
iter 3 psnr=28.6318119871586 dB
iter 4 psnr=28.888947340757 dB
iter 5 psnr=29.1456279119472 dB
iter 6 psnr=29.401180717225 dB
iter 7 psnr=29.6548312420401 dB
iter 8 psnr=29.9056989398238 dB
iter 9 psnr=30.1527855761986 dB
iter 10 psnr=30.3949728862613 dB
iter 11 psnr=30.6310229361931 dB
iter 12 psnr=30.8595822814442 dB
iter 13 psnr=31.0791922602584 dB
iter 14 psnr=31.2883009672131 dB
iter 15 psnr=31.4852873902146 dB
iter 16 psnr=31.668503453561 dB
iter 17 psnr=31.8362964185413 dB
iter 18 psnr=31.9870695228066 dB
iter 19 psnr=32.119335190314 dB
iter 20 psnr=32.2317721393713 dB
iter 21 psnr=32.3232701191737 dB
iter 22 psnr=32.3929936956048 dB
iter 23 psnr=32.4404121229697 dB
iter 24 psnr=32.46533575378 dB
iter 25 psnr=32.4679176874139 dB
iter 26 psnr=32.4486462192062 dB
iter 27 psnr=32.4083257353547 dB
iter 28 psnr=32.3480303762966 dB
iter 29 psnr=32.2690637914031 dB
iter 30 psnr=32.1728964912013 dB
iter 31 psnr=32.0611167785252 dB
iter 32 psnr=31.9353691299148 dB
iter 33 psnr=31.7973116615204 dB
iter 34 psnr=31.6485656745015 dB
iter 35 psnr=31.4906954466828 dB
iter 36 psnr=31.325170963124 dB
iter 37 psnr=31.1533605203025 dB
iter 38 psnr=30.9765135492372 dB
iter 39 psnr=30.7957604171957 dB
iter 40 psnr=30.6121155596567 dB
iter 41 psnr=30.4264788591517 dB
iter 42 psnr=30.2396299169096 dB
iter 43 psnr=30.0522600567581 dB
iter 44 psnr=29.8649602338623 dB
iter 45 psnr=29.6782371837628 dB
iter 46 psnr=29.4925247734933 dB
iter 47 psnr=29.308184860537 dB
iter 48 psnr=29.1255197317015 dB
iter 49 psnr=28.9447862810356 dB
iter 50 psnr=28.7661848727686 dB
iter 51 psnr=28.5898826516285 dB
iter 52 psnr=28.4160136647536 dB
iter 53 psnr=28.2446806446865 dB
iter 54 psnr=28.0759612978192 dB
iter 55 psnr=27.9099076297925 dB
iter 56 psnr=27.7465559695984 dB
iter 57 psnr=27.5859298973776 dB
iter 58 psnr=27.4280338984975 dB
iter 59 psnr=27.2728677208636 dB
iter 60 psnr=27.120416769059 dB
iter 61 psnr=26.9706627177738 dB
iter 62 psnr=26.8235764695557 dB
iter 63 psnr=26.6791237083406 dB
iter 64 psnr=26.5372710166923 dB
iter 65 psnr=26.3979746765012 dB
iter 66 psnr=26.2611918443801 dB
iter 67 psnr=26.1268782774411 dB
iter 68 psnr=25.99498964631 dB
iter 69 psnr=25.8654773346434 dB
iter 70 psnr=25.7382905359004 dB
iter 71 psnr=25.6133871694588 dB
iter 72 psnr=25.490712640342 dB
iter 73 psnr=25.3702206103022 dB
iter 74 psnr=25.2518613658411 dB
iter 75 psnr=25.1355887726562 dB
iter 76 psnr=25.0213530847708 dB
iter 77 psnr=24.9091082865321 dB
iter 78 psnr=24.7988097143923 dB
iter 79 psnr=24.6904103344666 dB
iter 80 psnr=24.583867732842 dB
iter 81 psnr=24.4791363289061 dB
iter 82 psnr=24.3761772572933 dB
iter 83 psnr=24.2749470132566 dB
iter 84 psnr=24.1754031643908 dB
iter 85 psnr=24.0775075524627 dB
iter 86 psnr=23.9812233536799 dB
iter 87 psnr=23.886509713036 dB
iter 88 psnr=23.7933345726942 dB
iter 89 psnr=23.7016577610475 dB
iter 90 psnr=23.61144817102 dB
iter 91 psnr=23.522670576876 dB
iter 92 psnr=23.4352911494822 dB
iter 93 psnr=23.3492798551812 dB
iter 94 psnr=23.264604092401 dB
iter 95 psnr=23.1812349330914 dB
iter 96 psnr=23.0991417012503 dB
iter 97 psnr=23.0182967618163 dB
iter 98 psnr=22.9386716952557 dB
iter 99 psnr=22.8602400601661 dB
iter 100 psnr=22.7829759591119 dB
iter 101 psnr=22.7068523249019 dB
iter 102 psnr=22.6318452459496 dB
iter 103 psnr=22.5579304400798 dB
iter 104 psnr=22.4850849369854 dB
iter 105 psnr=22.4132858058259 dB
iter 106 psnr=22.3425097882957 dB
iter 107 psnr=22.2727379793426 dB
iter 108 psnr=22.2039464000463 dB
iter 109 psnr=22.1361161303134 dB
iter 110 psnr=22.0692274251015 dB
iter 111 psnr=22.0032579848313 dB
iter 112 psnr=21.9381945911534 dB
iter 113 psnr=21.8740159238249 dB
iter 114 psnr=21.8107032189232 dB
iter 115 psnr=21.7482424957085 dB
iter 116 psnr=21.68661345209 dB
iter 117 psnr=21.6258002191874 dB
iter 118 psnr=21.5657891048379 dB
iter 119 psnr=21.5065603768579 dB
iter 120 psnr=21.4481020753923 dB
Processing OSSART-shearlet: 37665.05 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=96 PSNR=21.390398 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_96.png
Processing OSSART-shearlet roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65783691406
iteration 3 err=191.171234130859
iteration 4 err=53.2240257263184
iteration 5 err=9.53466987609863
iteration 6 err=3.79848885536194
iteration 7 err=1.92168891429901
iteration 8 err=3.67398405075073
iteration 9 err=1.26963603496552
iteration 10 err=0.778574287891388
iteration 11 err=0.376217007637024
iteration 12 err=0.244827479124069
iteration 13 err=0.16845728456974
iteration 14 err=0.0968064293265343
iteration 15 err=0.14954175055027
iteration 16 err=0.118940033018589
iteration 17 err=0.0711750090122223
iteration 18 err=0.0373072065412998
iteration 19 err=0.0358354970812798
iteration 20 err=0.0285626463592052
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808934206321}
iter 1 psnr=31.4297074141636 dB
iter 2 psnr=31.5830221708468 dB
iter 3 psnr=31.7149077473637 dB
iter 4 psnr=31.8238942260359 dB
iter 5 psnr=31.9088107644142 dB
iter 6 psnr=31.968861185066 dB
iter 7 psnr=32.0036563960322 dB
iter 8 psnr=32.0132439438299 dB
iter 9 psnr=31.9981041008331 dB
iter 10 psnr=31.9591200118083 dB
iter 11 psnr=31.8975303056709 dB
iter 12 psnr=31.8148703097656 dB
iter 13 psnr=31.7128871471147 dB
iter 14 psnr=31.5934793602253 dB
iter 15 psnr=31.4586105992816 dB
iter 16 psnr=31.3102495355594 dB
iter 17 psnr=31.1503206783852 dB
iter 18 psnr=30.9806596771054 dB
iter 19 psnr=30.8029809571527 dB
iter 20 psnr=30.6188604085208 dB
iter 21 psnr=30.4297226195029 dB
iter 22 psnr=30.2368430006028 dB
iter 23 psnr=30.0413511169392 dB
iter 24 psnr=29.8442307039363 dB
iter 25 psnr=29.6463344100613 dB
iter 26 psnr=29.4483956631411 dB
iter 27 psnr=29.2510320136553 dB
iter 28 psnr=29.054774160951 dB
iter 29 psnr=28.8600533850553 dB
iter 30 psnr=28.6672358384846 dB
iter 31 psnr=28.4766180767676 dB
iter 32 psnr=28.2884402436964 dB
iter 33 psnr=28.1028921302611 dB
iter 34 psnr=27.9201195849142 dB
iter 35 psnr=27.7402367376717 dB
iter 36 psnr=27.5633276015194 dB
iter 37 psnr=27.3894453441475 dB
iter 38 psnr=27.218622671728 dB
iter 39 psnr=27.0508812551177 dB
iter 40 psnr=26.8862148791068 dB
iter 41 psnr=26.7246181185323 dB
iter 42 psnr=26.5660646015361 dB
iter 43 psnr=26.410523313263 dB
iter 44 psnr=26.2579565346918 dB
iter 45 psnr=26.1083242816598 dB
iter 46 psnr=25.9615767756732 dB
iter 47 psnr=25.817661893683 dB
iter 48 psnr=25.6765243798474 dB
iter 49 psnr=25.5381139572981 dB
iter 50 psnr=25.4023694666807 dB
iter 51 psnr=25.2692341506464 dB
iter 52 psnr=25.1386498306708 dB
iter 53 psnr=25.010557775992 dB
iter 54 psnr=24.8849037781012 dB
iter 55 psnr=24.7616235390023 dB
iter 56 psnr=24.640666706701 dB
iter 57 psnr=24.5219748627409 dB
iter 58 psnr=24.405492344955 dB
iter 59 psnr=24.291162298628 dB
iter 60 psnr=24.1789364277453 dB
iter 61 psnr=24.0687609970419 dB
iter 62 psnr=23.9605843712045 dB
iter 63 psnr=23.8543584799227 dB
iter 64 psnr=23.7500306259453 dB
iter 65 psnr=23.647559327401 dB
iter 66 psnr=23.5468960232632 dB
iter 67 psnr=23.447998198017 dB
iter 68 psnr=23.3508199408991 dB
iter 69 psnr=23.2553208419221 dB
iter 70 psnr=23.1614593895278 dB
iter 71 psnr=23.0691934376314 dB
iter 72 psnr=22.9784862217114 dB
iter 73 psnr=22.8893011492733 dB
iter 74 psnr=22.8016013672961 dB
iter 75 psnr=22.7153496179211 dB
iter 76 psnr=22.6305158736809 dB
iter 77 psnr=22.5470619393037 dB
iter 78 psnr=22.4649590332174 dB
iter 79 psnr=22.3841731919598 dB
iter 80 psnr=22.3046753939839 dB
iter 81 psnr=22.2264334482803 dB
iter 82 psnr=22.1494232692224 dB
iter 83 psnr=22.07361372829 dB
iter 84 psnr=21.9989794987601 dB
iter 85 psnr=21.9254914038221 dB
iter 86 psnr=21.853126211499 dB
iter 87 psnr=21.7818599898091 dB
iter 88 psnr=21.7116666684808 dB
iter 89 psnr=21.6425216090271 dB
iter 90 psnr=21.5744066857903 dB
iter 91 psnr=21.5072963665578 dB
iter 92 psnr=21.441169030561 dB
iter 93 psnr=21.3760056411306 dB
iter 94 psnr=21.3117847128138 dB
iter 95 psnr=21.2484883269191 dB
iter 96 psnr=21.1860931207532 dB
iter 97 psnr=21.1245839952928 dB
iter 98 psnr=21.0639420741174 dB
iter 99 psnr=21.0041495067161 dB
iter 100 psnr=20.9451884550632 dB
iter 101 psnr=20.8870429954652 dB
iter 102 psnr=20.8296977613587 dB
iter 103 psnr=20.7731348499899 dB
iter 104 psnr=20.7173397505261 dB
iter 105 psnr=20.6622999436156 dB
iter 106 psnr=20.6079971065756 dB
iter 107 psnr=20.5544197327734 dB
iter 108 psnr=20.5015526382669 dB
iter 109 psnr=20.4493823158372 dB
iter 110 psnr=20.3978959988033 dB
iter 111 psnr=20.3470807901371 dB
iter 112 psnr=20.2969245012536 dB
iter 113 psnr=20.2474161614925 dB
iter 114 psnr=20.1985403103298 dB
iter 115 psnr=20.1502865556559 dB
iter 116 psnr=20.1026445684222 dB
iter 117 psnr=20.0556030435852 dB
iter 118 psnr=20.0091510432806 dB
iter 119 psnr=19.9632779815315 dB
iter 120 psnr=19.9179741137654 dB
Processing OSSART-shearlet: 39340.05 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=128 PSNR=19.873228 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_128.png
Processing OSSART-shearlet roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65795898438
iteration 3 err=191.171127319336
iteration 4 err=53.223991394043
iteration 5 err=9.53465175628662
iteration 6 err=3.79766654968262
iteration 7 err=1.8433393239975
iteration 8 err=2.66060566902161
iteration 9 err=1.47124063968658
iteration 10 err=0.789372384548187
iteration 11 err=0.376263529062271
iteration 12 err=0.244826704263687
iteration 13 err=0.168451264500618
iteration 14 err=0.0964097678661346
iteration 15 err=0.0902075842022896
iteration 16 err=0.160340562462807
iteration 17 err=0.0847164466977119
iteration 18 err=0.0373410098254681
iteration 19 err=0.0358427986502647
iteration 20 err=0.0287856459617615
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=32.2762046408959 dB
iter 2 psnr=32.3260160043979 dB
iter 3 psnr=32.346697585303 dB
iter 4 psnr=32.3385979827406 dB
iter 5 psnr=32.3026235942245 dB
iter 6 psnr=32.2401756302728 dB
iter 7 psnr=32.1530726310789 dB
iter 8 psnr=32.0434392113582 dB
iter 9 psnr=31.9136076820192 dB
iter 10 psnr=31.7660084531455 dB
iter 11 psnr=31.6030780849697 dB
iter 12 psnr=31.4271852148116 dB
iter 13 psnr=31.2405732910081 dB
iter 14 psnr=31.0453190345279 dB
iter 15 psnr=30.8433067041221 dB
iter 16 psnr=30.6362206013659 dB
iter 17 psnr=30.4255495229235 dB
iter 18 psnr=30.212584614449 dB
iter 19 psnr=29.9984418855615 dB
iter 20 psnr=29.7840641292476 dB
iter 21 psnr=29.5702470507822 dB
iter 22 psnr=29.3576559297477 dB
iter 23 psnr=29.1468437050872 dB
iter 24 psnr=28.9382527475388 dB
iter 25 psnr=28.7322500946208 dB
iter 26 psnr=28.5291181370182 dB
iter 27 psnr=28.3290762416284 dB
iter 28 psnr=28.1322970227888 dB
iter 29 psnr=27.9389039221841 dB
iter 30 psnr=27.7489840763303 dB
iter 31 psnr=27.5625883959388 dB
iter 32 psnr=27.3797495865979 dB
iter 33 psnr=27.2004723953254 dB
iter 34 psnr=27.024746515291 dB
iter 35 psnr=26.852543849316 dB
iter 36 psnr=26.6838306294213 dB
iter 37 psnr=26.5185565504358 dB
iter 38 psnr=26.3566714503809 dB
iter 39 psnr=26.1981105852131 dB
iter 40 psnr=26.0428156414219 dB
iter 41 psnr=25.8907169080102 dB
iter 42 psnr=25.7417444131745 dB
iter 43 psnr=25.5958268002984 dB
iter 44 psnr=25.4528923115997 dB
iter 45 psnr=25.3128684970977 dB
iter 46 psnr=25.1756869323646 dB
iter 47 psnr=25.0412712936929 dB
iter 48 psnr=24.9095515105387 dB
iter 49 psnr=24.7804635081387 dB
iter 50 psnr=24.6539332737944 dB
iter 51 psnr=24.5298968266611 dB
iter 52 psnr=24.4082860700234 dB
iter 53 psnr=24.2890385401653 dB
iter 54 psnr=24.1720912857829 dB
iter 55 psnr=24.0573838875637 dB
iter 56 psnr=23.9448562127 dB
iter 57 psnr=23.8344514321564 dB
iter 58 psnr=23.7261122500153 dB
iter 59 psnr=23.6197868172473 dB
iter 60 psnr=23.5154200374817 dB
iter 61 psnr=23.4129621077426 dB
iter 62 psnr=23.3123648278179 dB
iter 63 psnr=23.2135747907225 dB
iter 64 psnr=23.1165521359299 dB
iter 65 psnr=23.0212459261693 dB
iter 66 psnr=22.9276173564015 dB
iter 67 psnr=22.8356200037939 dB
iter 68 psnr=22.7452168739689 dB
iter 69 psnr=22.6563672509652 dB
iter 70 psnr=22.5690286963887 dB
iter 71 psnr=22.4831690931098 dB
iter 72 psnr=22.3987504131906 dB
iter 73 psnr=22.3157362977497 dB
iter 74 psnr=22.2340955560148 dB
iter 75 psnr=22.1537943363198 dB
iter 76 psnr=22.0747974555647 dB
iter 77 psnr=21.9970794577156 dB
iter 78 psnr=21.9206084255059 dB
iter 79 psnr=21.8453544642792 dB
iter 80 psnr=21.7712882774696 dB
iter 81 psnr=21.6983859194951 dB
iter 82 psnr=21.6266196393761 dB
iter 83 psnr=21.5559625238779 dB
iter 84 psnr=21.4863920919264 dB
iter 85 psnr=21.417882527916 dB
iter 86 psnr=21.3504114166817 dB
iter 87 psnr=21.2839563319488 dB
iter 88 psnr=21.2184931522721 dB
iter 89 psnr=21.1540043363873 dB
iter 90 psnr=21.0904646518507 dB
iter 91 psnr=21.0278572651415 dB
iter 92 psnr=20.9661602798591 dB
iter 93 psnr=20.9053558409164 dB
iter 94 psnr=20.8454254335829 dB
iter 95 psnr=20.7863509723726 dB
iter 96 psnr=20.7281158020728 dB
iter 97 psnr=20.6707008539015 dB
iter 98 psnr=20.6140895169394 dB
iter 99 psnr=20.5582662696033 dB
iter 100 psnr=20.5032171036581 dB
iter 101 psnr=20.4489246732286 dB
iter 102 psnr=20.3953750995583 dB
iter 103 psnr=20.3425535833025 dB
iter 104 psnr=20.2904458459621 dB
iter 105 psnr=20.2390390146759 dB
iter 106 psnr=20.1883219961912 dB
iter 107 psnr=20.1382765066063 dB
iter 108 psnr=20.0888932782491 dB
iter 109 psnr=20.0401598477214 dB
iter 110 psnr=19.9920637411295 dB
iter 111 psnr=19.9445929038616 dB
iter 112 psnr=19.8977356825279 dB
iter 113 psnr=19.8514828847906 dB
iter 114 psnr=19.8058177896674 dB
iter 115 psnr=19.7607368801246 dB
iter 116 psnr=19.7162258185029 dB
iter 117 psnr=19.6722751427511 dB
iter 118 psnr=19.6288752905379 dB
iter 119 psnr=19.5860181701903 dB
iter 120 psnr=19.5436920615935 dB
Processing OSSART-shearlet: 39165.05 ms
RESULT OSSART-shearlet IMAGE=mouse RADIUS=140 PSNR=19.501889 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_mouse_140.png
Processing OSSART-shearlet roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385053.96875
iteration 2 err=7922.18505859375
iteration 3 err=1209.96264648438
iteration 4 err=269.338134765625
iteration 5 err=98.2791290283203
iteration 6 err=22.0614585876465
iteration 7 err=9.80591773986816
iteration 8 err=8.07308769226074
iteration 9 err=10.2511539459229
iteration 10 err=3.77079820632935
iteration 11 err=2.31873965263367
iteration 12 err=1.2472175359726
iteration 13 err=0.792599320411682
iteration 14 err=0.466614097356796
iteration 15 err=0.427500635385513
iteration 16 err=1.09650707244873
iteration 17 err=0.308776170015335
iteration 18 err=0.266643643379211
iteration 19 err=0.300132840871811
iteration 20 err=0.286011308431625
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1 psnr=8.58059154730634 dB
iter 2 psnr=8.59947968886982 dB
iter 3 psnr=8.61827545534885 dB
iter 4 psnr=8.63697854877301 dB
iter 5 psnr=8.65559090464034 dB
iter 6 psnr=8.67411291636659 dB
iter 7 psnr=8.69254564120337 dB
iter 8 psnr=8.71088727954524 dB
iter 9 psnr=8.72914053537367 dB
iter 10 psnr=8.74730558283071 dB
iter 11 psnr=8.7653806629686 dB
iter 12 psnr=8.78336955783949 dB
iter 13 psnr=8.80127022312684 dB
iter 14 psnr=8.81908421980315 dB
iter 15 psnr=8.83681182703152 dB
iter 16 psnr=8.85445434007833 dB
iter 17 psnr=8.87200975573844 dB
iter 18 psnr=8.88948140992838 dB
iter 19 psnr=8.90686800114003 dB
iter 20 psnr=8.92416957118958 dB
iter 21 psnr=8.94138888749035 dB
iter 22 psnr=8.95852367303869 dB
iter 23 psnr=8.97557538506044 dB
iter 24 psnr=8.99254551754277 dB
iter 25 psnr=9.00943353626165 dB
iter 26 psnr=9.02623925735437 dB
iter 27 psnr=9.04296424147699 dB
iter 28 psnr=9.05961008635644 dB
iter 29 psnr=9.07617423280797 dB
iter 30 psnr=9.09265865581819 dB
iter 31 psnr=9.109065020822 dB
iter 32 psnr=9.12539220269244 dB
iter 33 psnr=9.14164190974526 dB
iter 34 psnr=9.15781339480706 dB
iter 35 psnr=9.17390805590117 dB
iter 36 psnr=9.18992517066232 dB
iter 37 psnr=9.20586725824412 dB
iter 38 psnr=9.22173218761446 dB
iter 39 psnr=9.23752324844817 dB
iter 40 psnr=9.2532383285315 dB
iter 41 psnr=9.26887931455365 dB
iter 42 psnr=9.28444703102875 dB
iter 43 psnr=9.29993938072885 dB
iter 44 psnr=9.31535904748448 dB
iter 45 psnr=9.33070468696467 dB
iter 46 psnr=9.34597829290257 dB
iter 47 psnr=9.36117928458273 dB
iter 48 psnr=9.37630858085461 dB
iter 49 psnr=9.39136637137783 dB
iter 50 psnr=9.40635361209991 dB
iter 51 psnr=9.42126938943723 dB
iter 52 psnr=9.43611544434419 dB
iter 53 psnr=9.45089164574317 dB
iter 54 psnr=9.46559786964934 dB
iter 55 psnr=9.48023591714087 dB
iter 56 psnr=9.49480377360922 dB
iter 57 psnr=9.50930442597686 dB
iter 58 psnr=9.52373703523716 dB
iter 59 psnr=9.53810231434954 dB
iter 60 psnr=9.55240021392768 dB
iter 61 psnr=9.56663225718585 dB
iter 62 psnr=9.5807984250351 dB
iter 63 psnr=9.59489791821954 dB
iter 64 psnr=9.60893230555994 dB
iter 65 psnr=9.62290120193718 dB
iter 66 psnr=9.63680621310491 dB
iter 67 psnr=9.65064618032054 dB
iter 68 psnr=9.66442313892952 dB
iter 69 psnr=9.67813514274274 dB
iter 70 psnr=9.69178465807801 dB
iter 71 psnr=9.70537136149004 dB
iter 72 psnr=9.71889493234492 dB
iter 73 psnr=9.73235749192335 dB
iter 74 psnr=9.74575711694543 dB
iter 75 psnr=9.75909513912109 dB
iter 76 psnr=9.77237045159233 dB
iter 77 psnr=9.78558564420669 dB
iter 78 psnr=9.79874004271563 dB
iter 79 psnr=9.81183421300037 dB
iter 80 psnr=9.82486873402943 dB
iter 81 psnr=9.83784336486442 dB
iter 82 psnr=9.85075786774887 dB
iter 83 psnr=9.86361619796503 dB
iter 84 psnr=9.87641395917974 dB
iter 85 psnr=9.88915471646817 dB
iter 86 psnr=9.90183658773921 dB
iter 87 psnr=9.91446233757814 dB
iter 88 psnr=9.92702966663133 dB
iter 89 psnr=9.93954094443107 dB
iter 90 psnr=9.95199558017744 dB
iter 91 psnr=9.9643955544933 dB
iter 92 psnr=9.97673857549179 dB
iter 93 psnr=9.98902664291376 dB
iter 94 psnr=10.0012600544685 dB
iter 95 psnr=10.0134399836021 dB
iter 96 psnr=10.0255654473369 dB
iter 97 psnr=10.0376363287531 dB
iter 98 psnr=10.0496538264657 dB
iter 99 psnr=10.061617841599 dB
iter 100 psnr=10.0735278391503 dB
iter 101 psnr=10.0853863694621 dB
iter 102 psnr=10.0971920361666 dB
iter 103 psnr=10.1089460921255 dB
iter 104 psnr=10.1206475856126 dB
iter 105 psnr=10.1322986790717 dB
iter 106 psnr=10.1438988810419 dB
iter 107 psnr=10.1554476989941 dB
iter 108 psnr=10.1669464365385 dB
iter 109 psnr=10.1783941628973 dB
iter 110 psnr=10.1897935548548 dB
iter 111 psnr=10.2011423400891 dB
iter 112 psnr=10.2124409505582 dB
iter 113 psnr=10.2236916475545 dB
iter 114 psnr=10.2348935250875 dB
iter 115 psnr=10.2460465866652 dB
iter 116 psnr=10.257152215789 dB
iter 117 psnr=10.2682099742848 dB
iter 118 psnr=10.2792198841958 dB
iter 119 psnr=10.2901828958697 dB
iter 120 psnr=10.3010990460633 dB
Processing OSSART-shearlet: 19380.03 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=12 PSNR=10.311969 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_12.png
Processing OSSART-shearlet roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.185546875
iteration 3 err=1209.96179199219
iteration 4 err=269.337921142578
iteration 5 err=98.2791442871094
iteration 6 err=22.0613040924072
iteration 7 err=9.79501533508301
iteration 8 err=7.48909473419189
iteration 9 err=9.30901527404785
iteration 10 err=4.06547975540161
iteration 11 err=2.32095789909363
iteration 12 err=1.2472403049469
iteration 13 err=0.792609810829163
iteration 14 err=0.4666728079319
iteration 15 err=0.392556965351105
iteration 16 err=1.15250420570374
iteration 17 err=0.42166131734848
iteration 18 err=0.477410852909088
iteration 19 err=0.229697436094284
iteration 20 err=0.213103875517845
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=10.7130413879013 dB
iter 2 psnr=10.7372828698341 dB
iter 3 psnr=10.7614194928626 dB
iter 4 psnr=10.7854504624831 dB
iter 5 psnr=10.8093773042912 dB
iter 6 psnr=10.8331998696537 dB
iter 7 psnr=10.856918620265 dB
iter 8 psnr=10.8805343514165 dB
iter 9 psnr=10.9040467272255 dB
iter 10 psnr=10.9274572115271 dB
iter 11 psnr=10.9507658400453 dB
iter 12 psnr=10.9739717798178 dB
iter 13 psnr=10.9970769178126 dB
iter 14 psnr=11.0200823018516 dB
iter 15 psnr=11.0429872044424 dB
iter 16 psnr=11.0657918274903 dB
iter 17 psnr=11.0884967118388 dB
iter 18 psnr=11.1111015095703 dB
iter 19 psnr=11.1336086878399 dB
iter 20 psnr=11.1560167323431 dB
iter 21 psnr=11.1783275754706 dB
iter 22 psnr=11.2005422687585 dB
iter 23 psnr=11.2226577884986 dB
iter 24 psnr=11.2446787223173 dB
iter 25 psnr=11.266603370253 dB
iter 26 psnr=11.2884329189896 dB
iter 27 psnr=11.3101663385071 dB
iter 28 psnr=11.3318068285167 dB
iter 29 psnr=11.3533517945808 dB
iter 30 psnr=11.3748022255493 dB
iter 31 psnr=11.3961608028841 dB
iter 32 psnr=11.4174249777255 dB
iter 33 psnr=11.4385968383972 dB
iter 34 psnr=11.4596765271405 dB
iter 35 psnr=11.4806655564678 dB
iter 36 psnr=11.5015621085761 dB
iter 37 psnr=11.5223687679408 dB
iter 38 psnr=11.5430851175994 dB
iter 39 psnr=11.5637114389523 dB
iter 40 psnr=11.5842487282497 dB
iter 41 psnr=11.6046976744403 dB
iter 42 psnr=11.6250572599036 dB
iter 43 psnr=11.6453306610368 dB
iter 44 psnr=11.6655151642195 dB
iter 45 psnr=11.6856140204507 dB
iter 46 psnr=11.7056245358052 dB
iter 47 psnr=11.725549324794 dB
iter 48 psnr=11.7453889228054 dB
iter 49 psnr=11.7651435336694 dB
iter 50 psnr=11.7848126608293 dB
iter 51 psnr=11.8043976287969 dB
iter 52 psnr=11.8238979827096 dB
iter 53 psnr=11.843315837015 dB
iter 54 psnr=11.8626493194781 dB
iter 55 psnr=11.881900231389 dB
iter 56 psnr=11.9010681986333 dB
iter 57 psnr=11.920155835132 dB
iter 58 psnr=11.9391605817477 dB
iter 59 psnr=11.9580862347699 dB
iter 60 psnr=11.9769295056359 dB
iter 61 psnr=11.9956935039928 dB
iter 62 psnr=12.0143798868532 dB
iter 63 psnr=12.0329850050746 dB
iter 64 psnr=12.0515113012187 dB
iter 65 psnr=12.0699597330082 dB
iter 66 psnr=12.0883285797992 dB
iter 67 psnr=12.1066207696274 dB
iter 68 psnr=12.1248350011721 dB
iter 69 psnr=12.1429738840035 dB
iter 70 psnr=12.1610353626048 dB
iter 71 psnr=12.1790217073876 dB
iter 72 psnr=12.196931271812 dB
iter 73 psnr=12.2147659811191 dB
iter 74 psnr=12.2325254049282 dB
iter 75 psnr=12.2502103236744 dB
iter 76 psnr=12.267820333226 dB
iter 77 psnr=12.285357870157 dB
iter 78 psnr=12.3028205436653 dB
iter 79 psnr=12.3202108352292 dB
iter 80 psnr=12.3375279994477 dB
iter 81 psnr=12.3547712908113 dB
iter 82 psnr=12.3719449212416 dB
iter 83 psnr=12.3890465450427 dB
iter 84 psnr=12.4060762889212 dB
iter 85 psnr=12.4230359649725 dB
iter 86 psnr=12.439924906996 dB
iter 87 psnr=12.4567445556344 dB
iter 88 psnr=12.4734934244688 dB
iter 89 psnr=12.4901755335325 dB
iter 90 psnr=12.506786452336 dB
iter 91 psnr=12.5233298204163 dB
iter 92 psnr=12.5398037611786 dB
iter 93 psnr=12.5562119829195 dB
iter 94 psnr=12.5725522030316 dB
iter 95 psnr=12.5888251540796 dB
iter 96 psnr=12.6050315894656 dB
iter 97 psnr=12.6211722835023 dB
iter 98 psnr=12.637247592342 dB
iter 99 psnr=12.6532565644086 dB
iter 100 psnr=12.6692004552342 dB
iter 101 psnr=12.6850801040292 dB
iter 102 psnr=12.7008941431395 dB
iter 103 psnr=12.7166461135395 dB
iter 104 psnr=12.7323324346449 dB
iter 105 psnr=12.7479557893259 dB
iter 106 psnr=12.7635152910804 dB
iter 107 psnr=12.7790118639736 dB
iter 108 psnr=12.794445543056 dB
iter 109 psnr=12.8098177429844 dB
iter 110 psnr=12.8251271552819 dB
iter 111 psnr=12.8403756821956 dB
iter 112 psnr=12.8555615664814 dB
iter 113 psnr=12.8706872046602 dB
iter 114 psnr=12.8857517795277 dB
iter 115 psnr=12.9007563365758 dB
iter 116 psnr=12.9157024115743 dB
iter 117 psnr=12.9305868705374 dB
iter 118 psnr=12.9454140867223 dB
iter 119 psnr=12.9601804588679 dB
iter 120 psnr=12.9748880394705 dB
Processing OSSART-shearlet: 19305.03 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=16 PSNR=12.989538 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_16.png
Processing OSSART-shearlet roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96240234375
iteration 4 err=269.338043212891
iteration 5 err=98.2791595458984
iteration 6 err=22.0614776611328
iteration 7 err=9.80624103546143
iteration 8 err=8.08993148803711
iteration 9 err=10.2548265457153
iteration 10 err=3.76667499542236
iteration 11 err=2.31871199607849
iteration 12 err=1.24721825122833
iteration 13 err=0.792601704597473
iteration 14 err=0.466606199741364
iteration 15 err=0.41248619556427
iteration 16 err=1.17412722110748
iteration 17 err=0.338304102420807
iteration 18 err=0.488670825958252
iteration 19 err=0.250624507665634
iteration 20 err=0.214549690485001
{ { 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=14.3846325584431 dB
iter 2 psnr=14.4216453084086 dB
iter 3 psnr=14.4585421339874 dB
iter 4 psnr=14.4953242319678 dB
iter 5 psnr=14.5319914131549 dB
iter 6 psnr=14.5685420413083 dB
iter 7 psnr=14.6049788054931 dB
iter 8 psnr=14.6413017800008 dB
iter 9 psnr=14.6775095599836 dB
iter 10 psnr=14.7136042360413 dB
iter 11 psnr=14.7495845553735 dB
iter 12 psnr=14.7854505814678 dB
iter 13 psnr=14.8212027802423 dB
iter 14 psnr=14.856843011584 dB
iter 15 psnr=14.892369007568 dB
iter 16 psnr=14.9277818082219 dB
iter 17 psnr=14.9630815623928 dB
iter 18 psnr=14.9982701788114 dB
iter 19 psnr=15.0333452958475 dB
iter 20 psnr=15.068309330482 dB
iter 21 psnr=15.1031603731017 dB
iter 22 psnr=15.1378996480726 dB
iter 23 psnr=15.1725274404962 dB
iter 24 psnr=15.2070441147503 dB
iter 25 psnr=15.2414508273986 dB
iter 26 psnr=15.2757470486876 dB
iter 27 psnr=15.3099330221952 dB
iter 28 psnr=15.344007974541 dB
iter 29 psnr=15.3779737431868 dB
iter 30 psnr=15.4118311805892 dB
iter 31 psnr=15.4455767593147 dB
iter 32 psnr=15.4792144176255 dB
iter 33 psnr=15.5127422262779 dB
iter 34 psnr=15.5461620735147 dB
iter 35 psnr=15.579474432243 dB
iter 36 psnr=15.6126779159077 dB
iter 37 psnr=15.6457723279001 dB
iter 38 psnr=15.6787606731984 dB
iter 39 psnr=15.7116405629613 dB
iter 40 psnr=15.7444119907798 dB
iter 41 psnr=15.7770782281138 dB
iter 42 psnr=15.8096370315181 dB
iter 43 psnr=15.8420902309139 dB
iter 44 psnr=15.8744373015517 dB
iter 45 psnr=15.9066781747066 dB
iter 46 psnr=15.9388157590237 dB
iter 47 psnr=15.9708467975737 dB
iter 48 psnr=16.0027730762248 dB
iter 49 psnr=16.0345956359008 dB
iter 50 psnr=16.0663134533364 dB
iter 51 psnr=16.0979281276196 dB
iter 52 psnr=16.1294391774418 dB
iter 53 psnr=16.1608461604366 dB
iter 54 psnr=16.1921504443872 dB
iter 55 psnr=16.2233534891054 dB
iter 56 psnr=16.2544550521774 dB
iter 57 psnr=16.2854522218435 dB
iter 58 psnr=16.3163488842928 dB
iter 59 psnr=16.347143584046 dB
iter 60 psnr=16.3778376447571 dB
iter 61 psnr=16.4084306163671 dB
iter 62 psnr=16.438922553059 dB
iter 63 psnr=16.4693145023168 dB
iter 64 psnr=16.4996080639515 dB
iter 65 psnr=16.5297991896762 dB
iter 66 psnr=16.5598924345411 dB
iter 67 psnr=16.5898871925332 dB
iter 68 psnr=16.6197823978469 dB
iter 69 psnr=16.649577492261 dB
iter 70 psnr=16.6792754131346 dB
iter 71 psnr=16.7088757342071 dB
iter 72 psnr=16.7383775594588 dB
iter 73 psnr=16.7677810226552 dB
iter 74 psnr=16.7970893569868 dB
iter 75 psnr=16.8263008049689 dB
iter 76 psnr=16.8554151502041 dB
iter 77 psnr=16.8844324720932 dB
iter 78 psnr=16.9133534165316 dB
iter 79 psnr=16.9421797401162 dB
iter 80 psnr=16.9709114339564 dB
iter 81 psnr=16.9995474630074 dB
iter 82 psnr=17.0280886823498 dB
iter 83 psnr=17.0565349293966 dB
iter 84 psnr=17.0848882507298 dB
iter 85 psnr=17.1131458615896 dB
iter 86 psnr=17.1413104492353 dB
iter 87 psnr=17.1693820383052 dB
iter 88 psnr=17.1973601337572 dB
iter 89 psnr=17.2252459492021 dB
iter 90 psnr=17.2530387890587 dB
iter 91 psnr=17.2807393979145 dB
iter 92 psnr=17.3083485757903 dB
iter 93 psnr=17.3358660271954 dB
iter 94 psnr=17.3632917742802 dB
iter 95 psnr=17.390625291796 dB
iter 96 psnr=17.4178695973933 dB
iter 97 psnr=17.4450222092424 dB
iter 98 psnr=17.4720865593438 dB
iter 99 psnr=17.4990602201656 dB
iter 100 psnr=17.5259422407836 dB
iter 101 psnr=17.5527350096876 dB
iter 102 psnr=17.5794413123807 dB
iter 103 psnr=17.606056987597 dB
iter 104 psnr=17.6325830444605 dB
iter 105 psnr=17.6590227205266 dB
iter 106 psnr=17.6853718744002 dB
iter 107 psnr=17.7116341438879 dB
iter 108 psnr=17.7378069693411 dB
iter 109 psnr=17.7638909374163 dB
iter 110 psnr=17.7898905159309 dB
iter 111 psnr=17.8158013058653 dB
iter 112 psnr=17.8416278902243 dB
iter 113 psnr=17.8673671809227 dB
iter 114 psnr=17.8930206280855 dB
iter 115 psnr=17.9185894160643 dB
iter 116 psnr=17.9440721358807 dB
iter 117 psnr=17.9694703720169 dB
iter 118 psnr=17.994785104052 dB
iter 119 psnr=18.0200153395645 dB
iter 120 psnr=18.0451590730844 dB
Processing OSSART-shearlet: 21135.03 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=24 PSNR=18.070220 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_24.png
Processing OSSART-shearlet roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385053.96875
iteration 2 err=7922.18359375
iteration 3 err=1209.96203613281
iteration 4 err=269.338043212891
iteration 5 err=98.2791290283203
iteration 6 err=22.0616760253906
iteration 7 err=9.82108497619629
iteration 8 err=8.84738349914551
iteration 9 err=9.99525260925293
iteration 10 err=3.65580296516418
iteration 11 err=2.31791210174561
iteration 12 err=1.24721276760101
iteration 13 err=0.792603731155396
iteration 14 err=0.466911971569061
iteration 15 err=0.490601241588593
iteration 16 err=0.849624335765839
iteration 17 err=0.305681586265564
iteration 18 err=0.274620354175568
iteration 19 err=0.326144754886627
iteration 20 err=0.261989831924438
{ { 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=17.1223450956817 dB
iter 2 psnr=17.1722122819638 dB
iter 3 psnr=17.2219716233995 dB
iter 4 psnr=17.2716193611074 dB
iter 5 psnr=17.3211623170618 dB
iter 6 psnr=17.3705948255834 dB
iter 7 psnr=17.4199183453765 dB
iter 8 psnr=17.4691312542761 dB
iter 9 psnr=17.5182340377596 dB
iter 10 psnr=17.5672270325091 dB
iter 11 psnr=17.616109041456 dB
iter 12 psnr=17.6648810616343 dB
iter 13 psnr=17.7135397378557 dB
iter 14 psnr=17.762087406879 dB
iter 15 psnr=17.8105227280121 dB
iter 16 psnr=17.8588448261403 dB
iter 17 psnr=17.9070540508683 dB
iter 18 psnr=17.9551490745945 dB
iter 19 psnr=18.0031305479264 dB
iter 20 psnr=18.05099627687 dB
iter 21 psnr=18.0987471985429 dB
iter 22 psnr=18.1463832887541 dB
iter 23 psnr=18.1939031128677 dB
iter 24 psnr=18.2413069164344 dB
iter 25 psnr=18.288594713088 dB
iter 26 psnr=18.3357646485068 dB
iter 27 psnr=18.3828182190713 dB
iter 28 psnr=18.429751761499 dB
iter 29 psnr=18.4765657917388 dB
iter 30 psnr=18.5232639646843 dB
iter 31 psnr=18.5698408426325 dB
iter 32 psnr=18.6162978177982 dB
iter 33 psnr=18.6626351860305 dB
iter 34 psnr=18.7088512006754 dB
iter 35 psnr=18.7549455293831 dB
iter 36 psnr=18.8009179766471 dB
iter 37 psnr=18.8467703114487 dB
iter 38 psnr=18.8924990014724 dB
iter 39 psnr=18.9381037693388 dB
iter 40 psnr=18.9835872961002 dB
iter 41 psnr=19.0289453959806 dB
iter 42 psnr=19.074181534736 dB
iter 43 psnr=19.1192897670773 dB
iter 44 psnr=19.1642748277147 dB
iter 45 psnr=19.209133870518 dB
iter 46 psnr=19.2538665757508 dB
iter 47 psnr=19.2984732595577 dB
iter 48 psnr=19.3429528614716 dB
iter 49 psnr=19.3873059670176 dB
iter 50 psnr=19.4315301991032 dB
iter 51 psnr=19.4756248032789 dB
iter 52 psnr=19.5195920610109 dB
iter 53 psnr=19.5634288440259 dB
iter 54 psnr=19.6071358346335 dB
iter 55 psnr=19.6507094951594 dB
iter 56 psnr=19.6941537593774 dB
iter 57 psnr=19.7374653064779 dB
iter 58 psnr=19.7806447724837 dB
iter 59 psnr=19.8236906729663 dB
iter 60 psnr=19.8666039044844 dB
iter 61 psnr=19.9093832064244 dB
iter 62 psnr=19.9520259325824 dB
iter 63 psnr=19.9945342137365 dB
iter 64 psnr=20.036906203568 dB
iter 65 psnr=20.0791431409827 dB
iter 66 psnr=20.1212409458788 dB
iter 67 psnr=20.1632016795122 dB
iter 68 psnr=20.2050248118607 dB
iter 69 psnr=20.2467080351838 dB
iter 70 psnr=20.2882532094304 dB
iter 71 psnr=20.3296569463236 dB
iter 72 psnr=20.370920385821 dB
iter 73 psnr=20.4120422265876 dB
iter 74 psnr=20.4530242127699 dB
iter 75 psnr=20.4938636207705 dB
iter 76 psnr=20.5345611091623 dB
iter 77 psnr=20.5751134165947 dB
iter 78 psnr=20.6155227613034 dB
iter 79 psnr=20.6557884596763 dB
iter 80 psnr=20.6959088791903 dB
iter 81 psnr=20.735883856987 dB
iter 82 psnr=20.7757129913323 dB
iter 83 psnr=20.8153938363523 dB
iter 84 psnr=20.8549268714054 dB
iter 85 psnr=20.8943127147423 dB
iter 86 psnr=20.9335495486163 dB
iter 87 psnr=20.9726359798442 dB
iter 88 psnr=21.0115755593876 dB
iter 89 psnr=21.0503622460726 dB
iter 90 psnr=21.0889990608887 dB
iter 91 psnr=21.1274827028697 dB
iter 92 psnr=21.1658125895836 dB
iter 93 psnr=21.2039913709178 dB
iter 94 psnr=21.2420167648999 dB
iter 95 psnr=21.2798869218071 dB
iter 96 psnr=21.3176016508534 dB
iter 97 psnr=21.3551604627627 dB
iter 98 psnr=21.3925650116057 dB
iter 99 psnr=21.4298142302913 dB
iter 100 psnr=21.4669029606052 dB
iter 101 psnr=21.5038364794141 dB
iter 102 psnr=21.540608494252 dB
iter 103 psnr=21.5772224333241 dB
iter 104 psnr=21.6136754894949 dB
iter 105 psnr=21.6499687791247 dB
iter 106 psnr=21.6861013743854 dB
iter 107 psnr=21.7220719819334 dB
iter 108 psnr=21.7578811536553 dB
iter 109 psnr=21.7935255249368 dB
iter 110 psnr=21.8290076110853 dB
iter 111 psnr=21.8643246390546 dB
iter 112 psnr=21.8994775302729 dB
iter 113 psnr=21.9344645574889 dB
iter 114 psnr=21.9692835732129 dB
iter 115 psnr=22.0039376486143 dB
iter 116 psnr=22.0384234052252 dB
iter 117 psnr=22.0727417674341 dB
iter 118 psnr=22.1068913773608 dB
iter 119 psnr=22.1408723937857 dB
iter 120 psnr=22.1746821391488 dB
Processing OSSART-shearlet: 22190.03 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=32 PSNR=22.208321 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_32.png
Processing OSSART-shearlet roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1865234375
iteration 3 err=1209.96252441406
iteration 4 err=269.338317871094
iteration 5 err=98.2792663574219
iteration 6 err=22.0612297058105
iteration 7 err=9.78802108764648
iteration 8 err=7.10063171386719
iteration 9 err=6.23709297180176
iteration 10 err=5.32421016693115
iteration 11 err=2.33217859268188
iteration 12 err=1.24733424186707
iteration 13 err=0.792601764202118
iteration 14 err=0.466405719518662
iteration 15 err=0.367815136909485
iteration 16 err=0.576497554779053
iteration 17 err=0.543101668357849
iteration 18 err=0.499419510364532
iteration 19 err=0.25177001953125
iteration 20 err=0.214615017175674
{ { 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=21.2631463769834 dB
iter 2 psnr=21.3351675790211 dB
iter 3 psnr=21.407102215391 dB
iter 4 psnr=21.4789453398088 dB
iter 5 psnr=21.5506974553214 dB
iter 6 psnr=21.6223557538782 dB
iter 7 psnr=21.6939126579563 dB
iter 8 psnr=21.7653681256558 dB
iter 9 psnr=21.8367173740295 dB
iter 10 psnr=21.9079586804884 dB
iter 11 psnr=21.9790873843353 dB
iter 12 psnr=22.0501003011762 dB
iter 13 psnr=22.1209932623603 dB
iter 14 psnr=22.1917640978086 dB
iter 15 psnr=22.2624070148674 dB
iter 16 psnr=22.3329186300745 dB
iter 17 psnr=22.4032954131183 dB
iter 18 psnr=22.4735318041247 dB
iter 19 psnr=22.5436262203974 dB
iter 20 psnr=22.6135712497743 dB
iter 21 psnr=22.683362978702 dB
iter 22 psnr=22.7529977965594 dB
iter 23 psnr=22.8224729254704 dB
iter 24 psnr=22.8917803112738 dB
iter 25 psnr=22.9609174348 dB
iter 26 psnr=23.0298800645524 dB
iter 27 psnr=23.0986623840012 dB
iter 28 psnr=23.1672574127953 dB
iter 29 psnr=23.2356619301826 dB
iter 30 psnr=23.3038694253126 dB
iter 31 psnr=23.3718752921833 dB
iter 32 psnr=23.4396728989146 dB
iter 33 psnr=23.5072569851414 dB
iter 34 psnr=23.5746216669602 dB
iter 35 psnr=23.6417600833824 dB
iter 36 psnr=23.7086674277756 dB
iter 37 psnr=23.7753376436505 dB
iter 38 psnr=23.8417633270794 dB
iter 39 psnr=23.9079388761653 dB
iter 40 psnr=23.9738579945528 dB
iter 41 psnr=24.0395133038733 dB
iter 42 psnr=24.1048972843646 dB
iter 43 psnr=24.1700036505248 dB
iter 44 psnr=24.2348256968532 dB
iter 45 psnr=24.299356979275 dB
iter 46 psnr=24.3635913370394 dB
iter 47 psnr=24.4275177858584 dB
iter 48 psnr=24.491132803041 dB
iter 49 psnr=24.5544299494146 dB
iter 50 psnr=24.6173985001565 dB
iter 51 psnr=24.6800312885198 dB
iter 52 psnr=24.7423226119929 dB
iter 53 psnr=24.8042623457252 dB
iter 54 psnr=24.865844945814 dB
iter 55 psnr=24.927061152703 dB
iter 56 psnr=24.9879031444885 dB
iter 57 psnr=25.0483633766866 dB
iter 58 psnr=25.1084350327158 dB
iter 59 psnr=25.1681051238391 dB
iter 60 psnr=25.2273694807599 dB
iter 61 psnr=25.2862172986857 dB
iter 62 psnr=25.3446419921643 dB
iter 63 psnr=25.4026341508146 dB
iter 64 psnr=25.4601855309788 dB
iter 65 psnr=25.5172872547898 dB
iter 66 psnr=25.573931678561 dB
iter 67 psnr=25.6301095768702 dB
iter 68 psnr=25.6858119981517 dB
iter 69 psnr=25.7410287987913 dB
iter 70 psnr=25.7957545950928 dB
iter 71 psnr=25.849980426041 dB
iter 72 psnr=25.9036950673255 dB
iter 73 psnr=25.956892970242 dB
iter 74 psnr=26.0095638047434 dB
iter 75 psnr=26.0616991021695 dB
iter 76 psnr=26.1132899413544 dB
iter 77 psnr=26.1643291082171 dB
iter 78 psnr=26.2148089852049 dB
iter 79 psnr=26.2647173297746 dB
iter 80 psnr=26.3140511501822 dB
iter 81 psnr=26.3627992168747 dB
iter 82 psnr=26.410951711343 dB
iter 83 psnr=26.4585052817496 dB
iter 84 psnr=26.5054486177467 dB
iter 85 psnr=26.551774258973 dB
iter 86 psnr=26.5974736728595 dB
iter 87 psnr=26.6425405511992 dB
iter 88 psnr=26.6869659926452 dB
iter 89 psnr=26.7307439690543 dB
iter 90 psnr=26.7738658093983 dB
iter 91 psnr=26.8163260960711 dB
iter 92 psnr=26.8581192955025 dB
iter 93 psnr=26.8992378025377 dB
iter 94 psnr=26.9396744491686 dB
iter 95 psnr=26.9794238408396 dB
iter 96 psnr=27.0184801044617 dB
iter 97 psnr=27.0568355170614 dB
iter 98 psnr=27.0944861738923 dB
iter 99 psnr=27.1314277113188 dB
iter 100 psnr=27.1676538997652 dB
iter 101 psnr=27.203160375975 dB
iter 102 psnr=27.2379422640878 dB
iter 103 psnr=27.2719966152038 dB
iter 104 psnr=27.3053185651878 dB
iter 105 psnr=27.3379051895441 dB
iter 106 psnr=27.3697526825764 dB
iter 107 psnr=27.4008595842963 dB
iter 108 psnr=27.4312224643146 dB
iter 109 psnr=27.4608376826528 dB
iter 110 psnr=27.4897039695911 dB
iter 111 psnr=27.5178198824865 dB
iter 112 psnr=27.5451830366052 dB
iter 113 psnr=27.5717934650872 dB
iter 114 psnr=27.5976495005423 dB
iter 115 psnr=27.6227526818263 dB
iter 116 psnr=27.6470989914605 dB
iter 117 psnr=27.6706914445655 dB
iter 118 psnr=27.6935293892058 dB
iter 119 psnr=27.7156154251134 dB
iter 120 psnr=27.7369460534175 dB
Processing OSSART-shearlet: 26650.04 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=48 PSNR=27.757527 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_48.png
Processing OSSART-shearlet roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18505859375
iteration 3 err=1209.96228027344
iteration 4 err=269.338073730469
iteration 5 err=98.279167175293
iteration 6 err=22.06130027771
iteration 7 err=9.79442977905273
iteration 8 err=7.45665597915649
iteration 9 err=9.17404365539551
iteration 10 err=4.10074520111084
iteration 11 err=2.32122898101807
iteration 12 err=1.24724018573761
iteration 13 err=0.792608380317688
iteration 14 err=0.466661006212235
iteration 15 err=0.386162847280502
iteration 16 err=1.05163407325745
iteration 17 err=0.450569868087769
iteration 18 err=0.474498808383942
iteration 19 err=0.229022309184074
iteration 20 err=0.213059946894646
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874, 0.231558003735874}, { 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1 psnr=24.8068282455004 dB
iter 2 psnr=24.9069919920739 dB
iter 3 psnr=25.0069978101384 dB
iter 4 psnr=25.1068304790679 dB
iter 5 psnr=25.2064722309224 dB
iter 6 psnr=25.3058999749294 dB
iter 7 psnr=25.4050970925032 dB
iter 8 psnr=25.5040408264782 dB
iter 9 psnr=25.6027078121365 dB
iter 10 psnr=25.7010776638463 dB
iter 11 psnr=25.7991243659045 dB
iter 12 psnr=25.8968283736288 dB
iter 13 psnr=25.9941591464037 dB
iter 14 psnr=26.0910929478932 dB
iter 15 psnr=26.1876023082079 dB
iter 16 psnr=26.2836600813387 dB
iter 17 psnr=26.3792344064889 dB
iter 18 psnr=26.4742961678299 dB
iter 19 psnr=26.5688170418103 dB
iter 20 psnr=26.6627620968808 dB
iter 21 psnr=26.7561025042112 dB
iter 22 psnr=26.848801225765 dB
iter 23 psnr=26.9408243057552 dB
iter 24 psnr=27.0321379427366 dB
iter 25 psnr=27.1227047733792 dB
iter 26 psnr=27.2124882721747 dB
iter 27 psnr=27.3014545370317 dB
iter 28 psnr=27.3895592334115 dB
iter 29 psnr=27.4767665265318 dB
iter 30 psnr=27.5630369495726 dB
iter 31 psnr=27.6483314372016 dB
iter 32 psnr=27.7326066200546 dB
iter 33 psnr=27.8158239182284 dB
iter 34 psnr=27.8979400526345 dB
iter 35 psnr=27.978914598033 dB
iter 36 psnr=28.0587032341463 dB
iter 37 psnr=28.1372637503244 dB
iter 38 psnr=28.2145583026836 dB
iter 39 psnr=28.2905393706915 dB
iter 40 psnr=28.3651667892038 dB
iter 41 psnr=28.4383989051154 dB
iter 42 psnr=28.5101935660748 dB
iter 43 psnr=28.5805102860167 dB
iter 44 psnr=28.6493079991339 dB
iter 45 psnr=28.7165447926707 dB
iter 46 psnr=28.782185463417 dB
iter 47 psnr=28.8461895629214 dB
iter 48 psnr=28.9085185353936 dB
iter 49 psnr=28.969139701682 dB
iter 50 psnr=29.0280157252342 dB
iter 51 psnr=29.0851166230154 dB
iter 52 psnr=29.1404090074359 dB
iter 53 psnr=29.1938629480635 dB
iter 54 psnr=29.245452499053 dB
iter 55 psnr=29.2951508741961 dB
iter 56 psnr=29.3429332406802 dB
iter 57 psnr=29.3887780907878 dB
iter 58 psnr=29.432666406242 dB
iter 59 psnr=29.4745810791801 dB
iter 60 psnr=29.514510265666 dB
iter 61 psnr=29.5524375228782 dB
iter 62 psnr=29.5883533464285 dB
iter 63 psnr=29.6222530143365 dB
iter 64 psnr=29.6541305195491 dB
iter 65 psnr=29.6839849815058 dB
iter 66 psnr=29.7118151753408 dB
iter 67 psnr=29.7376253561898 dB
iter 68 psnr=29.7614193502356 dB
iter 69 psnr=29.7832046672453 dB
iter 70 psnr=29.8029956743517 dB
iter 71 psnr=29.8208029497957 dB
iter 72 psnr=29.8366430811488 dB
iter 73 psnr=29.8505354285939 dB
iter 74 psnr=29.8624977237328 dB
iter 75 psnr=29.8725542030716 dB
iter 76 psnr=29.8807286971236 dB
iter 77 psnr=29.8870466590597 dB
iter 78 psnr=29.8915393871791 dB
iter 79 psnr=29.8942366774768 dB
iter 80 psnr=29.8951706617804 dB
iter 81 psnr=29.8943745904256 dB
iter 82 psnr=29.8918845063423 dB
iter 83 psnr=29.8877362110541 dB
iter 84 psnr=29.8819672985706 dB
iter 85 psnr=29.8746144915446 dB
iter 86 psnr=29.8657189171652 dB
iter 87 psnr=29.8553219898389 dB
iter 88 psnr=29.8434613432339 dB
iter 89 psnr=29.8301821770196 dB
iter 90 psnr=29.8155235142827 dB
iter 91 psnr=29.7995337706784 dB
iter 92 psnr=29.7822489461099 dB
iter 93 psnr=29.7637134843361 dB
iter 94 psnr=29.7439705531361 dB
iter 95 psnr=29.7230602256607 dB
iter 96 psnr=29.7010270731948 dB
iter 97 psnr=29.677914444806 dB
iter 98 psnr=29.6537647432838 dB
iter 99 psnr=29.6286183365917 dB
iter 100 psnr=29.6025118371406 dB
iter 101 psnr=29.5754888995659 dB
iter 102 psnr=29.5475892297384 dB
iter 103 psnr=29.518852280889 dB
iter 104 psnr=29.4893142195765 dB
iter 105 psnr=29.459013861518 dB
iter 106 psnr=29.4279886119297 dB
iter 107 psnr=29.3962747714299 dB
iter 108 psnr=29.3639062318287 dB
iter 109 psnr=29.3309192760999 dB
iter 110 psnr=29.2973458067081 dB
iter 111 psnr=29.2632197196639 dB
iter 112 psnr=29.2285687029219 dB
iter 113 psnr=29.1934279886354 dB
iter 114 psnr=29.1578277851159 dB
iter 115 psnr=29.1217949478808 dB
iter 116 psnr=29.0853584858515 dB
iter 117 psnr=29.0485461572811 dB
iter 118 psnr=29.011387733559 dB
iter 119 psnr=28.9739043341813 dB
iter 120 psnr=28.9361203756592 dB
Processing OSSART-shearlet: 26110.04 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=64 PSNR=28.898063 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_64.png
Processing OSSART-shearlet roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18603515625
iteration 3 err=1209.96215820313
iteration 4 err=269.338104248047
iteration 5 err=98.2791595458984
iteration 6 err=22.0613136291504
iteration 7 err=9.79563426971436
iteration 8 err=7.52256536483765
iteration 9 err=9.43389129638672
iteration 10 err=4.03310012817383
iteration 11 err=2.32070350646973
iteration 12 err=1.24723446369171
iteration 13 err=0.792605578899384
iteration 14 err=0.466580092906952
iteration 15 err=0.377051711082459
iteration 16 err=0.80740487575531
iteration 17 err=0.500523686408997
iteration 18 err=0.496158868074417
iteration 19 err=0.230844229459763
iteration 20 err=0.213169172406197
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231558011779842, 0.231558011779842, 0.231558011779842, 0.231558011779842, 0.231558011779842, 0.231558011779842, 0.231558011779842, 0.231558011779842}, { 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=28.1607099049853 dB
iter 2 psnr=28.2886155864282 dB
iter 3 psnr=28.4156008863836 dB
iter 4 psnr=28.5415718627201 dB
iter 5 psnr=28.6664276150559 dB
iter 6 psnr=28.7900667085796 dB
iter 7 psnr=28.9123814667795 dB
iter 8 psnr=29.0332603805007 dB
iter 9 psnr=29.1525839486318 dB
iter 10 psnr=29.2702379117515 dB
iter 11 psnr=29.3860949192595 dB
iter 12 psnr=29.5000329048539 dB
iter 13 psnr=29.611917874834 dB
iter 14 psnr=29.7216253210904 dB
iter 15 psnr=29.8290179950028 dB
iter 16 psnr=29.9339613483344 dB
iter 17 psnr=30.0363217337833 dB
iter 18 psnr=30.1359618062137 dB
iter 19 psnr=30.2327447578681 dB
iter 20 psnr=30.3265396446251 dB
iter 21 psnr=30.4172140085319 dB
iter 22 psnr=30.5046395929367 dB
iter 23 psnr=30.5886864931517 dB
iter 24 psnr=30.6692378775372 dB
iter 25 psnr=30.7461764179656 dB
iter 26 psnr=30.8193920293531 dB
iter 27 psnr=30.8887807519592 dB
iter 28 psnr=30.9542531693649 dB
iter 29 psnr=31.0157173566168 dB
iter 30 psnr=31.0731021829811 dB
iter 31 psnr=31.1263439504434 dB
iter 32 psnr=31.1753833194633 dB
iter 33 psnr=31.2201751709305 dB
iter 34 psnr=31.2606913848658 dB
iter 35 psnr=31.2969088609465 dB
iter 36 psnr=31.3288209764582 dB
iter 37 psnr=31.3564342215132 dB
iter 38 psnr=31.3797645377278 dB
iter 39 psnr=31.3988412949726 dB
iter 40 psnr=31.4137050352994 dB
iter 41 psnr=31.4244073659308 dB
iter 42 psnr=31.4310104330056 dB
iter 43 psnr=31.4335892808106 dB
iter 44 psnr=31.4322278571782 dB
iter 45 psnr=31.4270195567673 dB
iter 46 psnr=31.4180607933446 dB
iter 47 psnr=31.4054623406928 dB
iter 48 psnr=31.389339516048 dB
iter 49 psnr=31.3698106396574 dB
iter 50 psnr=31.3470000681985 dB
iter 51 psnr=31.3210366215337 dB
iter 52 psnr=31.2920510830082 dB
iter 53 psnr=31.2601823621706 dB
iter 54 psnr=31.2255610211172 dB
iter 55 psnr=31.1883241762991 dB
iter 56 psnr=31.1486068038777 dB
iter 57 psnr=31.1065442246891 dB
iter 58 psnr=31.0622741708367 dB
iter 59 psnr=31.0159249326958 dB
iter 60 psnr=30.9676271266086 dB
iter 61 psnr=30.9175068520453 dB
iter 62 psnr=30.8656874388595 dB
iter 63 psnr=30.8122939705085 dB
iter 64 psnr=30.7574379907781 dB
iter 65 psnr=30.7012377009838 dB
iter 66 psnr=30.6438005926273 dB
iter 67 psnr=30.5852294393939 dB
iter 68 psnr=30.5256249233847 dB
iter 69 psnr=30.4650835824717 dB
iter 70 psnr=30.4036972477919 dB
iter 71 psnr=30.3415525549687 dB
iter 72 psnr=30.2787371068467 dB
iter 73 psnr=30.2153296620477 dB
iter 74 psnr=30.1514061764303 dB
iter 75 psnr=30.0870339721325 dB
iter 76 psnr=30.0222821884229 dB
iter 77 psnr=29.957213944278 dB
iter 78 psnr=29.8918917013877 dB
iter 79 psnr=29.8263684857555 dB
iter 80 psnr=29.7607019224478 dB
iter 81 psnr=29.6949422562985 dB
iter 82 psnr=29.6291332090996 dB
iter 83 psnr=29.5633175101903 dB
iter 84 psnr=29.4975402595662 dB
iter 85 psnr=29.4318340792981 dB
iter 86 psnr=29.3662396529783 dB
iter 87 psnr=29.3007852521567 dB
iter 88 psnr=29.2355047058234 dB
iter 89 psnr=29.1704239901086 dB
iter 90 psnr=29.1055706377225 dB
iter 91 psnr=29.040966724539 dB
iter 92 psnr=28.9766371023545 dB
iter 93 psnr=28.9126006578665 dB
iter 94 psnr=28.8488776292769 dB
iter 95 psnr=28.7854844538661 dB
iter 96 psnr=28.7224375505711 dB
iter 97 psnr=28.6597515544022 dB
iter 98 psnr=28.5974394213839 dB
iter 99 psnr=28.5355111728393 dB
iter 100 psnr=28.4739814365512 dB
iter 101 psnr=28.4128556047185 dB
iter 102 psnr=28.3521437792314 dB
iter 103 psnr=28.2918556345649 dB
iter 104 psnr=28.2319956964082 dB
iter 105 psnr=28.172571475517 dB
iter 106 psnr=28.113588341748 dB
iter 107 psnr=28.0550514815152 dB
iter 108 psnr=27.9969623133311 dB
iter 109 psnr=27.9393258228285 dB
iter 110 psnr=27.8821424566048 dB
iter 111 psnr=27.8254170473078 dB
iter 112 psnr=27.7691485890781 dB
iter 113 psnr=27.7133404238611 dB
iter 114 psnr=27.6579919376512 dB
iter 115 psnr=27.6031029094344 dB
iter 116 psnr=27.5486753783528 dB
iter 117 psnr=27.494706038526 dB
iter 118 psnr=27.4411942057556 dB
iter 119 psnr=27.3881406204993 dB
iter 120 psnr=27.3355473639607 dB
Processing OSSART-shearlet: 26050.04 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=80 PSNR=27.283407 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_80.png
Processing OSSART-shearlet roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18798828125
iteration 3 err=1209.96301269531
iteration 4 err=269.338287353516
iteration 5 err=98.279182434082
iteration 6 err=22.0612163543701
iteration 7 err=9.78824615478516
iteration 8 err=7.11363220214844
iteration 9 err=6.4148998260498
iteration 10 err=5.20056438446045
iteration 11 err=2.3309211730957
iteration 12 err=1.24732434749603
iteration 13 err=0.792601466178894
iteration 14 err=0.466356962919235
iteration 15 err=0.364595413208008
iteration 16 err=0.375328540802002
iteration 17 err=0.858456075191498
iteration 18 err=0.441735714673996
iteration 19 err=0.285627275705338
iteration 20 err=0.217606902122498
{ { 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1 psnr=30.4309124502912 dB
iter 2 psnr=30.5541829716579 dB
iter 3 psnr=30.6738257712419 dB
iter 4 psnr=30.7895983849795 dB
iter 5 psnr=30.9012623877486 dB
iter 6 psnr=31.0085831863637 dB
iter 7 psnr=31.1113227526914 dB
iter 8 psnr=31.2092594820655 dB
iter 9 psnr=31.3021714798272 dB
iter 10 psnr=31.3898541098666 dB
iter 11 psnr=31.4721140839065 dB
iter 12 psnr=31.5487704875808 dB
iter 13 psnr=31.6196666608452 dB
iter 14 psnr=31.6846566568185 dB
iter 15 psnr=31.7436250503406 dB
iter 16 psnr=31.7964771344819 dB
iter 17 psnr=31.8431354433544 dB
iter 18 psnr=31.8835571155369 dB
iter 19 psnr=31.9177210892143 dB
iter 20 psnr=31.9456317479679 dB
iter 21 psnr=31.9673218735625 dB
iter 22 psnr=31.9828451639889 dB
iter 23 psnr=31.9922901657518 dB
iter 24 psnr=31.9957580250413 dB
iter 25 psnr=31.9933810257043 dB
iter 26 psnr=31.9853093621662 dB
iter 27 psnr=31.9717099444285 dB
iter 28 psnr=31.952764815105 dB
iter 29 psnr=31.9286794975778 dB
iter 30 psnr=31.8996592275309 dB
iter 31 psnr=31.8659288274687 dB
iter 32 psnr=31.8277167494838 dB
iter 33 psnr=31.7852619631695 dB
iter 34 psnr=31.7388007489443 dB
iter 35 psnr=31.6885718258388 dB
iter 36 psnr=31.6348163933779 dB
iter 37 psnr=31.5777710703131 dB
iter 38 psnr=31.5176768519662 dB
iter 39 psnr=31.4547592682566 dB
iter 40 psnr=31.3892420750786 dB
iter 41 psnr=31.3213402062281 dB
iter 42 psnr=31.2512653100394 dB
iter 43 psnr=31.1792200311554 dB
iter 44 psnr=31.105395464518 dB
iter 45 psnr=31.0299773278441 dB
iter 46 psnr=30.9531450294236 dB
iter 47 psnr=30.8750587894289 dB
iter 48 psnr=30.7958787104444 dB
iter 49 psnr=30.7157547041729 dB
iter 50 psnr=30.634825933193 dB
iter 51 psnr=30.553221894398 dB
iter 52 psnr=30.4710645645779 dB
iter 53 psnr=30.3884689314627 dB
iter 54 psnr=30.3055403339755 dB
iter 55 psnr=30.2223770114997 dB
iter 56 psnr=30.1390754883321 dB
iter 57 psnr=30.0557123447357 dB
iter 58 psnr=29.972370671147 dB
iter 59 psnr=29.8891227986352 dB
iter 60 psnr=29.8060313603728 dB
iter 61 psnr=29.7231567842731 dB
iter 62 psnr=29.640555790834 dB
iter 63 psnr=29.5582785838286 dB
iter 64 psnr=29.4763716353686 dB
iter 65 psnr=29.3948755999193 dB
iter 66 psnr=29.3138313594203 dB
iter 67 psnr=29.2332718841936 dB
iter 68 psnr=29.1532255687231 dB
iter 69 psnr=29.0737200316187 dB
iter 70 psnr=28.9947795047036 dB
iter 71 psnr=28.9164296999853 dB
iter 72 psnr=28.8386865244255 dB
iter 73 psnr=28.7615707754313 dB
iter 74 psnr=28.6850945297899 dB
iter 75 psnr=28.6092685639854 dB
iter 76 psnr=28.534108090823 dB
iter 77 psnr=28.4596180266318 dB
iter 78 psnr=28.3858070235047 dB
iter 79 psnr=28.3126853616985 dB
iter 80 psnr=28.2402529313852 dB
iter 81 psnr=28.168516508232 dB
iter 82 psnr=28.0974768561174 dB
iter 83 psnr=28.0271388338973 dB
iter 84 psnr=27.9574995345003 dB
iter 85 psnr=27.8885614655404 dB
iter 86 psnr=27.8203209549217 dB
iter 87 psnr=27.7527800268959 dB
iter 88 psnr=27.6859351362952 dB
iter 89 psnr=27.6197825471465 dB
iter 90 psnr=27.5543221083383 dB
iter 91 psnr=27.4895462670886 dB
iter 92 psnr=27.4254530088753 dB
iter 93 psnr=27.3620361252942 dB
iter 94 psnr=27.2992929561366 dB
iter 95 psnr=27.2372157685915 dB
iter 96 psnr=27.1758017556565 dB
iter 97 psnr=27.1150428610041 dB
iter 98 psnr=27.0549338440547 dB
iter 99 psnr=26.9954720968906 dB
iter 100 psnr=26.9366457487935 dB
iter 101 psnr=26.8784529282112 dB
iter 102 psnr=26.8208839879628 dB
iter 103 psnr=26.7639354766283 dB
iter 104 psnr=26.7075976971397 dB
iter 105 psnr=26.6518639568145 dB
iter 106 psnr=26.5967264697913 dB
iter 107 psnr=26.5421820827214 dB
iter 108 psnr=26.4882217137889 dB
iter 109 psnr=26.4348382644311 dB
iter 110 psnr=26.3820236391827 dB
iter 111 psnr=26.3297741923547 dB
iter 112 psnr=26.2780809545726 dB
iter 113 psnr=26.2269371408996 dB
iter 114 psnr=26.1763361159258 dB
iter 115 psnr=26.1262730117115 dB
iter 116 psnr=26.0767400899147 dB
iter 117 psnr=26.027728492476 dB
iter 118 psnr=25.9792340561654 dB
iter 119 psnr=25.931249565533 dB
iter 120 psnr=25.8837667119029 dB
Processing OSSART-shearlet: 26050.04 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=96 PSNR=25.836780 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_96.png
Processing OSSART-shearlet roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385053.96875
iteration 2 err=7922.18408203125
iteration 3 err=1209.96203613281
iteration 4 err=269.338043212891
iteration 5 err=98.2791900634766
iteration 6 err=22.0614738464355
iteration 7 err=9.80634307861328
iteration 8 err=8.09514713287354
iteration 9 err=10.2558259963989
iteration 10 err=3.76542925834656
iteration 11 err=2.31870555877686
iteration 12 err=1.24722051620483
iteration 13 err=0.79260641336441
iteration 14 err=0.46668541431427
iteration 15 err=0.41394829750061
iteration 16 err=1.16083085536957
iteration 17 err=0.368039488792419
iteration 18 err=0.500034391880035
iteration 19 err=0.235334366559982
iteration 20 err=0.213468760251999
{ { 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839}, { 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1 psnr=33.0818488183747 dB
iter 2 psnr=33.2048719548846 dB
iter 3 psnr=33.3195613158173 dB
iter 4 psnr=33.4254399434271 dB
iter 5 psnr=33.522073518152 dB
iter 6 psnr=33.609064582187 dB
iter 7 psnr=33.6860770334606 dB
iter 8 psnr=33.7528304886191 dB
iter 9 psnr=33.8091122739086 dB
iter 10 psnr=33.8547908579575 dB
iter 11 psnr=33.8897971919149 dB
iter 12 psnr=33.9141483840256 dB
iter 13 psnr=33.9279356243497 dB
iter 14 psnr=33.9313263784326 dB
iter 15 psnr=33.9245557525595 dB
iter 16 psnr=33.9079250304074 dB
iter 17 psnr=33.8817957141694 dB
iter 18 psnr=33.8465784739587 dB
iter 19 psnr=33.8027238214979 dB
iter 20 psnr=33.7507275322194 dB
iter 21 psnr=33.6910942154717 dB
iter 22 psnr=33.6243554751292 dB
iter 23 psnr=33.5510447623532 dB
iter 24 psnr=33.4717013101666 dB
iter 25 psnr=33.3868612039868 dB
iter 26 psnr=33.2970439849511 dB
iter 27 psnr=33.2027616626871 dB
iter 28 psnr=33.1044954595824 dB
iter 29 psnr=33.0027159253558 dB
iter 30 psnr=32.8978624638669 dB
iter 31 psnr=32.7903531848715 dB
iter 32 psnr=32.6805797126455 dB
iter 33 psnr=32.5688997684279 dB
iter 34 psnr=32.4556534827471 dB
iter 35 psnr=32.3411487244292 dB
iter 36 psnr=32.2256681626023 dB
iter 37 psnr=32.1094747253883 dB
iter 38 psnr=31.992801249915 dB
iter 39 psnr=31.8758685702518 dB
iter 40 psnr=31.7588618721529 dB
iter 41 psnr=31.6419615426355 dB
iter 42 psnr=31.5253260199711 dB
iter 43 psnr=31.4090933156144 dB
iter 44 psnr=31.2933864987051 dB
iter 45 psnr=31.1783180172943 dB
iter 46 psnr=31.0639877923407 dB
iter 47 psnr=30.9504786995236 dB
iter 48 psnr=30.8378676842582 dB
iter 49 psnr=30.7262160275431 dB
iter 50 psnr=30.6155867613169 dB
iter 51 psnr=30.5060195944386 dB
iter 52 psnr=30.3975652104036 dB
iter 53 psnr=30.2902504632026 dB
iter 54 psnr=30.1841077485174 dB
iter 55 psnr=30.0791587557721 dB
iter 56 psnr=29.9754233591117 dB
iter 57 psnr=29.8729136333513 dB
iter 58 psnr=29.7716417248235 dB
iter 59 psnr=29.6716153373525 dB
iter 60 psnr=29.5728378632573 dB
iter 61 psnr=29.4753088440828 dB
iter 62 psnr=29.3790269582166 dB
iter 63 psnr=29.2839901193105 dB
iter 64 psnr=29.1901918745062 dB
iter 65 psnr=29.0976275991363 dB
iter 66 psnr=29.0062863641118 dB
iter 67 psnr=28.9161611341342 dB
iter 68 psnr=28.8272384963543 dB
iter 69 psnr=28.7395098603816 dB
iter 70 psnr=28.6529604111507 dB
iter 71 psnr=28.5675780043423 dB
iter 72 psnr=28.4833466674442 dB
iter 73 psnr=28.4002551997691 dB
iter 74 psnr=28.3182876972715 dB
iter 75 psnr=28.2374304372159 dB
iter 76 psnr=28.1576654037063 dB
iter 77 psnr=28.0789783241751 dB
iter 78 psnr=28.0013550926694 dB
iter 79 psnr=27.9247785635749 dB
iter 80 psnr=27.8492338104934 dB
iter 81 psnr=27.7747048553167 dB
iter 82 psnr=27.7011743446746 dB
iter 83 psnr=27.6286279835116 dB
iter 84 psnr=27.5570538870831 dB
iter 85 psnr=27.486432432535 dB
iter 86 psnr=27.4167471211587 dB
iter 87 psnr=27.3479847583022 dB
iter 88 psnr=27.2801308574389 dB
iter 89 psnr=27.213169367047 dB
iter 90 psnr=27.1470870355374 dB
iter 91 psnr=27.0818656464872 dB
iter 92 psnr=27.0174958325508 dB
iter 93 psnr=26.9539621091924 dB
iter 94 psnr=26.8912484012295 dB
iter 95 psnr=26.8293427442847 dB
iter 96 psnr=26.7682306700946 dB
iter 97 psnr=26.7078988664777 dB
iter 98 psnr=26.6483347684256 dB
iter 99 psnr=26.5895265196441 dB
iter 100 psnr=26.531457932379 dB
iter 101 psnr=26.4741209639765 dB
iter 102 psnr=26.4174999258246 dB
iter 103 psnr=26.3615860978114 dB
iter 104 psnr=26.306365577022 dB
iter 105 psnr=26.2518268043873 dB
iter 106 psnr=26.1979579568197 dB
iter 107 psnr=26.1447481918511 dB
iter 108 psnr=26.0921888021213 dB
iter 109 psnr=26.0402677325801 dB
iter 110 psnr=25.9889715503809 dB
iter 111 psnr=25.9382945528734 dB
iter 112 psnr=25.8882227950935 dB
iter 113 psnr=25.8387473619024 dB
iter 114 psnr=25.7898595916303 dB
iter 115 psnr=25.7415493983796 dB
iter 116 psnr=25.6938083808262 dB
iter 117 psnr=25.6466242932575 dB
iter 118 psnr=25.5999912162953 dB
iter 119 psnr=25.5538993708753 dB
iter 120 psnr=25.50833927776 dB
Processing OSSART-shearlet: 26040.04 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=128 PSNR=25.463304 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_128.png
Processing OSSART-shearlet roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18603515625
iteration 3 err=1209.96252441406
iteration 4 err=269.338195800781
iteration 5 err=98.2792053222656
iteration 6 err=22.0613174438477
iteration 7 err=9.79490089416504
iteration 8 err=7.48220872879028
iteration 9 err=9.28153133392334
iteration 10 err=4.07263469696045
iteration 11 err=2.32101225852966
iteration 12 err=1.24723875522614
iteration 13 err=0.792600870132446
iteration 14 err=0.466454923152924
iteration 15 err=0.390214323997498
iteration 16 err=1.2688969373703
iteration 17 err=0.322219491004944
iteration 18 err=0.328542083501816
iteration 19 err=0.330359399318695
iteration 20 err=0.226225674152374
{ { 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1 psnr=34.5178784466399 dB
iter 2 psnr=34.649501583186 dB
iter 3 psnr=34.7692617307285 dB
iter 4 psnr=34.8764502954109 dB
iter 5 psnr=34.9704297429442 dB
iter 6 psnr=35.0506757399721 dB
iter 7 psnr=35.1167758858731 dB
iter 8 psnr=35.1684510994077 dB
iter 9 psnr=35.205559029924 dB
iter 10 psnr=35.2281061488522 dB
iter 11 psnr=35.2362377381232 dB
iter 12 psnr=35.2302436676612 dB
iter 13 psnr=35.210535563038 dB
iter 14 psnr=35.1776516915626 dB
iter 15 psnr=35.132228338043 dB
iter 16 psnr=35.0749792307778 dB
iter 17 psnr=35.0066885661574 dB
iter 18 psnr=34.9281778378707 dB
iter 19 psnr=34.8403046381971 dB
iter 20 psnr=34.7439276461659 dB
iter 21 psnr=34.6399028275348 dB
iter 22 psnr=34.5290720605547 dB
iter 23 psnr=34.412248626346 dB
iter 24 psnr=34.2902030425869 dB
iter 25 psnr=34.1636670398968 dB
iter 26 psnr=34.0333268864676 dB
iter 27 psnr=33.8998111799243 dB
iter 28 psnr=33.7637124584268 dB
iter 29 psnr=33.6255645067118 dB
iter 30 psnr=33.4858512726203 dB
iter 31 psnr=33.3450131554481 dB
iter 32 psnr=33.2034442070008 dB
iter 33 psnr=33.0614990645655 dB
iter 34 psnr=32.9194883587417 dB
iter 35 psnr=32.7776885315328 dB
iter 36 psnr=32.6363478463198 dB
iter 37 psnr=32.495674104962 dB
iter 38 psnr=32.355859995865 dB
iter 39 psnr=32.2170625947504 dB
iter 40 psnr=32.0794221635251 dB
iter 41 psnr=31.9430521680985 dB
iter 42 psnr=31.8080602208963 dB
iter 43 psnr=31.67452516004 dB
iter 44 psnr=31.5425218638532 dB
iter 45 psnr=31.4121050246494 dB
iter 46 psnr=31.283319138793 dB
iter 47 psnr=31.1562016740041 dB
iter 48 psnr=31.0307818511971 dB
iter 49 psnr=30.9070762537724 dB
iter 50 psnr=30.7850985964142 dB
iter 51 psnr=30.6648531673676 dB
iter 52 psnr=30.5463479813186 dB
iter 53 psnr=30.4295747599518 dB
iter 54 psnr=30.3145300254359 dB
iter 55 psnr=30.2012024993328 dB
iter 56 psnr=30.0895817028494 dB
iter 57 psnr=29.9796486451467 dB
iter 58 psnr=29.8713892487674 dB
iter 59 psnr=29.7647861845119 dB
iter 60 psnr=29.6598150141732 dB
iter 61 psnr=29.5564551600367 dB
iter 62 psnr=29.4546865243211 dB
iter 63 psnr=29.3544857597966 dB
iter 64 psnr=29.2558238255462 dB
iter 65 psnr=29.158681492699 dB
iter 66 psnr=29.0630316148622 dB
iter 67 psnr=28.9688500556419 dB
iter 68 psnr=28.8761101736862 dB
iter 69 psnr=28.7847864234423 dB
iter 70 psnr=28.6948533862257 dB
iter 71 psnr=28.6062867144889 dB
iter 72 psnr=28.5190639622068 dB
iter 73 psnr=28.4331553769723 dB
iter 74 psnr=28.3485399086932 dB
iter 75 psnr=28.265191548409 dB
iter 76 psnr=28.1830879945538 dB
iter 77 psnr=28.1022071531995 dB
iter 78 psnr=28.0225208703287 dB
iter 79 psnr=27.9440109564165 dB
iter 80 psnr=27.8666524190008 dB
iter 81 psnr=27.7904211683963 dB
iter 82 psnr=27.7152976382916 dB
iter 83 psnr=27.6412588751683 dB
iter 84 psnr=27.5682877019739 dB
iter 85 psnr=27.4963590396165 dB
iter 86 psnr=27.4254563332434 dB
iter 87 psnr=27.3555594362278 dB
iter 88 psnr=27.2866482347662 dB
iter 89 psnr=27.2187020153028 dB
iter 90 psnr=27.1517040361761 dB
iter 91 psnr=27.0856371300945 dB
iter 92 psnr=27.0204815702647 dB
iter 93 psnr=26.956221119718 dB
iter 94 psnr=26.892839159383 dB
iter 95 psnr=26.8303187317265 dB
iter 96 psnr=26.7686443473106 dB
iter 97 psnr=26.7077989930871 dB
iter 98 psnr=26.6477691203294 dB
iter 99 psnr=26.5885384893109 dB
iter 100 psnr=26.5300903129515 dB
iter 101 psnr=26.4724114312335 dB
iter 102 psnr=26.4154890992717 dB
iter 103 psnr=26.3593090947543 dB
iter 104 psnr=26.3038558214838 dB
iter 105 psnr=26.2491186763469 dB
iter 106 psnr=26.195082716107 dB
iter 107 psnr=26.1417368337874 dB
iter 108 psnr=26.089066986582 dB
iter 109 psnr=26.0370625996983 dB
iter 110 psnr=25.9857109585688 dB
iter 111 psnr=25.9350007429151 dB
iter 112 psnr=25.8849229140748 dB
iter 113 psnr=25.8354615636278 dB
iter 114 psnr=25.7866102780058 dB
iter 115 psnr=25.738357214288 dB
iter 116 psnr=25.6906890785791 dB
iter 117 psnr=25.6436012103885 dB
iter 118 psnr=25.5970804847419 dB
iter 119 psnr=25.5511177788142 dB
iter 120 psnr=25.5057051246368 dB
Processing OSSART-shearlet: 26106.04 ms
RESULT OSSART-shearlet IMAGE=abdomen RADIUS=140 PSNR=25.460830 TIME=0.100000 FILE=OSSART-shearlet/recon_OSSART-shearlet_abdomen_140.png
Processing CS-TV roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.171157836914
iteration 4 err=53.2239761352539
iteration 5 err=9.53464889526367
iteration 6 err=3.79768371582031
iteration 7 err=1.8450973033905
iteration 8 err=2.70254802703857
iteration 9 err=1.460240483284
iteration 10 err=0.788621246814728
iteration 11 err=0.376260280609131
iteration 12 err=0.24482673406601
iteration 13 err=0.168451815843582
iteration 14 err=0.096445344388485
iteration 15 err=0.0961461439728737
iteration 16 err=0.176765397191048
iteration 17 err=0.0765854120254517
iteration 18 err=0.0373202189803123
iteration 19 err=0.0358364507555962
iteration 20 err=0.0285903140902519
iter 1  psnr=4.43704871751755 dB
iter 2  psnr=8.09563216938593 dB
iter 3  psnr=6.92979565480538 dB
iter 4  psnr=6.51552369539393 dB
iter 5  psnr=6.28976170553789 dB
iter 6  psnr=6.14356890885261 dB
iter 7  psnr=6.0385488594245 dB
iter 8  psnr=5.95828227923967 dB
iter 9  psnr=5.89429072924634 dB
iter 10  psnr=5.84186032066935 dB
iter 11  psnr=5.79741897344371 dB
iter 12  psnr=5.75916910108447 dB
iter 13  psnr=5.72562044760547 dB
iter 14  psnr=5.69585986326103 dB
iter 15  psnr=5.66911921894368 dB
Processing CS-TV: 18635.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=12 PSNR=5.644988 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_12.png
Processing CS-TV roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.171249389648
iteration 4 err=53.223991394043
iteration 5 err=9.53464794158936
iteration 6 err=3.79766154289246
iteration 7 err=1.84313917160034
iteration 8 err=2.65577435493469
iteration 9 err=1.472531914711
iteration 10 err=0.789461553096771
iteration 11 err=0.376263976097107
iteration 12 err=0.244826719164848
iteration 13 err=0.168451070785522
iteration 14 err=0.0963988974690437
iteration 15 err=0.0883859917521477
iteration 16 err=0.139442592859268
iteration 17 err=0.0938311368227005
iteration 18 err=0.0373652130365372
iteration 19 err=0.0358345434069633
iteration 20 err=0.0285265613347292
iter 1  psnr=6.69633114807739 dB
iter 2  psnr=9.85764611874057 dB
iter 3  psnr=8.74034138463083 dB
iter 4  psnr=8.36417149118661 dB
iter 5  psnr=8.16670744868455 dB
iter 6  psnr=8.0407199219211 dB
iter 7  psnr=7.95166741963434 dB
iter 8  psnr=7.88423519737319 dB
iter 9  psnr=7.83081323070727 dB
iter 10  psnr=7.78703869662886 dB
iter 11  psnr=7.75034836829675 dB
iter 12  psnr=7.71881526673472 dB
iter 13  psnr=7.69151561424986 dB
iter 14  psnr=7.66739792092596 dB
iter 15  psnr=7.64582919227638 dB
Processing CS-TV: 18650.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=16 PSNR=7.626499 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_16.png
Processing CS-TV roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65832519531
iteration 3 err=191.171173095703
iteration 4 err=53.2239952087402
iteration 5 err=9.53464984893799
iteration 6 err=3.79731774330139
iteration 7 err=1.80984342098236
iteration 8 err=1.53664040565491
iteration 9 err=1.18683183193207
iteration 10 err=1.19763338565826
iteration 11 err=0.378516674041748
iteration 12 err=0.244839951395988
iteration 13 err=0.168451800942421
iteration 14 err=0.0963842496275902
iteration 15 err=0.0857729390263557
iteration 16 err=0.0699662491679192
iteration 17 err=0.225434795022011
iteration 18 err=0.0391841009259224
iteration 19 err=0.0358473360538483
iteration 20 err=0.0287464037537575
iter 1  psnr=10.1828423957084 dB
iter 2  psnr=12.5435865190117 dB
iter 3  psnr=11.6567121822617 dB
iter 4  psnr=11.3771139042722 dB
iter 5  psnr=11.2331855642587 dB
iter 6  psnr=11.1420604270108 dB
iter 7  psnr=11.079285653963 dB
iter 8  psnr=11.0391045847724 dB
iter 9  psnr=10.9984599439769 dB
iter 10  psnr=10.9793700336947 dB
iter 11  psnr=10.9578207755965 dB
iter 12  psnr=10.9373855838533 dB
iter 13  psnr=10.9169846290407 dB
iter 14  psnr=10.9016194046818 dB
iter 15  psnr=10.8909540239992 dB
Processing CS-TV: 18635.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=24 PSNR=10.874632 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_24.png
Processing CS-TV roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65930175781
iteration 3 err=191.171417236328
iteration 4 err=53.2240715026855
iteration 5 err=9.53465461730957
iteration 6 err=3.79732656478882
iteration 7 err=1.81042408943176
iteration 8 err=1.56260120868683
iteration 9 err=1.34202075004578
iteration 10 err=1.06671559810638
iteration 11 err=0.377677649259567
iteration 12 err=0.244835093617439
iteration 13 err=0.16845141351223
iteration 14 err=0.0963836908340454
iteration 15 err=0.0857266634702683
iteration 16 err=0.0680262520909309
iteration 17 err=0.188269689679146
iteration 18 err=0.0412614308297634
iteration 19 err=0.035872008651495
iteration 20 err=0.0293080005794764
iter 1  psnr=12.7570911207721 dB
iter 2  psnr=14.6894607036551 dB
iter 3  psnr=14.0093752776345 dB
iter 4  psnr=13.7942068764636 dB
iter 5  psnr=13.6822871205477 dB
iter 6  psnr=13.6111681145998 dB
iter 7  psnr=13.5610526759068 dB
iter 8  psnr=13.5229575673091 dB
iter 9  psnr=13.4925460522664 dB
iter 10  psnr=13.4680770409465 dB
iter 11  psnr=13.4473148059983 dB
iter 12  psnr=13.4295469761017 dB
iter 13  psnr=13.414091837007 dB
iter 14  psnr=13.3996536095739 dB
iter 15  psnr=13.3885939046545 dB
Processing CS-TV: 18630.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=32 PSNR=13.377520 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_32.png
Processing CS-TV roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.171112060547
iteration 4 err=53.2239532470703
iteration 5 err=9.53464508056641
iteration 6 err=3.79766321182251
iteration 7 err=1.84346961975098
iteration 8 err=2.66377544403076
iteration 9 err=1.47039806842804
iteration 10 err=0.789312541484833
iteration 11 err=0.376262664794922
iteration 12 err=0.244826212525368
iteration 13 err=0.16845129430294
iteration 14 err=0.0964471846818924
iteration 15 err=0.0965146273374558
iteration 16 err=0.176684677600861
iteration 17 err=0.0763682499527931
iteration 18 err=0.0373195149004459
iteration 19 err=0.0358378887176514
iteration 20 err=0.0286424942314625
iter 1  psnr=17.300543589787 dB
iter 2  psnr=18.9052548509911 dB
iter 3  psnr=18.3178742508183 dB
iter 4  psnr=18.1514263090852 dB
iter 5  psnr=18.0694381684563 dB
iter 6  psnr=18.018926665911 dB
iter 7  psnr=17.9830627192143 dB
iter 8  psnr=17.9561936074972 dB
iter 9  psnr=17.9346824593325 dB
iter 10  psnr=17.9180652286858 dB
iter 11  psnr=17.9039452222336 dB
iter 12  psnr=17.8919298231923 dB
iter 13  psnr=17.8812037410131 dB
iter 14  psnr=17.8727668199993 dB
iter 15  psnr=17.8647844518298 dB
Processing CS-TV: 18640.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=48 PSNR=17.857804 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_48.png
Processing CS-TV roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.171234130859
iteration 4 err=53.2239952087402
iteration 5 err=9.53465270996094
iteration 6 err=3.79742622375488
iteration 7 err=1.820317029953
iteration 8 err=1.96601605415344
iteration 9 err=1.6999546289444
iteration 10 err=0.819948017597198
iteration 11 err=0.376401752233505
iteration 12 err=0.24482849240303
iteration 13 err=0.168452039361
iteration 14 err=0.0963882654905319
iteration 15 err=0.086405873298645
iteration 16 err=0.0934779345989227
iteration 17 err=0.143065363168716
iteration 18 err=0.0375333987176418
iteration 19 err=0.0358373671770096
iteration 20 err=0.0285705793648958
iter 1  psnr=20.7950865526374 dB
iter 2  psnr=22.1491903325011 dB
iter 3  psnr=21.6777533001633 dB
iter 4  psnr=21.5413074066799 dB
iter 5  psnr=21.4750271398096 dB
iter 6  psnr=21.4356381568074 dB
iter 7  psnr=21.4081036586565 dB
iter 8  psnr=21.3893214418187 dB
iter 9  psnr=21.3749869788792 dB
iter 10  psnr=21.3636472895308 dB
iter 11  psnr=21.355350341759 dB
iter 12  psnr=21.3473628576994 dB
iter 13  psnr=21.341068948847 dB
iter 14  psnr=21.3355924035016 dB
iter 15  psnr=21.3307377951153 dB
Processing CS-TV: 18630.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=64 PSNR=21.324819 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_64.png
Processing CS-TV roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65771484375
iteration 3 err=191.171127319336
iteration 4 err=53.2239761352539
iteration 5 err=9.53466606140137
iteration 6 err=3.79911279678345
iteration 7 err=1.98123490810394
iteration 8 err=3.86059284210205
iteration 9 err=1.22897136211395
iteration 10 err=0.776919305324554
iteration 11 err=0.376208454370499
iteration 12 err=0.244826272130013
iteration 13 err=0.168458804488182
iteration 14 err=0.0969842150807381
iteration 15 err=0.171897381544113
iteration 16 err=0.108223646879196
iteration 17 err=0.0708938017487526
iteration 18 err=0.0373066738247871
iteration 19 err=0.035833653062582
iteration 20 err=0.0284982807934284
iter 1  psnr=24.3600715466723 dB
iter 2  psnr=25.5134741209761 dB
iter 3  psnr=25.1402627903485 dB
iter 4  psnr=25.0384065976678 dB
iter 5  psnr=24.9888243681597 dB
iter 6  psnr=24.965941301311 dB
iter 7  psnr=24.9473074528534 dB
iter 8  psnr=24.9347930548732 dB
iter 9  psnr=24.9198403765613 dB
iter 10  psnr=24.9088594297371 dB
iter 11  psnr=24.9134486131581 dB
iter 12  psnr=24.9119608135654 dB
iter 13  psnr=24.9003857358146 dB
iter 14  psnr=24.903600089369 dB
iter 15  psnr=24.9040461786398 dB
Processing CS-TV: 18630.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=80 PSNR=24.903550 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_80.png
Processing CS-TV roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65856933594
iteration 3 err=191.171234130859
iteration 4 err=53.2239837646484
iteration 5 err=9.53464412689209
iteration 6 err=3.79731583595276
iteration 7 err=1.80978155136108
iteration 8 err=1.53387153148651
iteration 9 err=1.16716325283051
iteration 10 err=1.21856427192688
iteration 11 err=0.378663688898087
iteration 12 err=0.244839668273926
iteration 13 err=0.168450966477394
iteration 14 err=0.0963832885026932
iteration 15 err=0.0857151299715042
iteration 16 err=0.0675444379448891
iteration 17 err=0.16546742618084
iteration 18 err=0.0427318848669529
iteration 19 err=0.0358506478369236
iteration 20 err=0.0285245552659035
iter 1  psnr=28.1423685947621 dB
iter 2  psnr=28.371206828341 dB
iter 3  psnr=28.3713371122551 dB
iter 4  psnr=28.441688422351 dB
iter 5  psnr=28.5087286532459 dB
iter 6  psnr=28.5614814478495 dB
iter 7  psnr=28.5847672576674 dB
iter 8  psnr=28.6371482335809 dB
iter 9  psnr=28.6739784276908 dB
iter 10  psnr=28.7086490259995 dB
iter 11  psnr=28.7387777101773 dB
iter 12  psnr=28.7596223212216 dB
iter 13  psnr=28.7962540496368 dB
iter 14  psnr=28.8160030531355 dB
iter 15  psnr=28.8377642959112 dB
Processing CS-TV: 18625.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=96 PSNR=28.858504 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_96.png
Processing CS-TV roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.6591796875
iteration 3 err=191.171310424805
iteration 4 err=53.2240142822266
iteration 5 err=9.53464603424072
iteration 6 err=3.7973198890686
iteration 7 err=1.81026911735535
iteration 8 err=1.55579578876495
iteration 9 err=1.30596494674683
iteration 10 err=1.09271836280823
iteration 11 err=0.377832978963852
iteration 12 err=0.244835913181305
iteration 13 err=0.168451875448227
iteration 14 err=0.0963840037584305
iteration 15 err=0.0856867358088493
iteration 16 err=0.0662726834416389
iteration 17 err=0.0391794368624687
iteration 18 err=0.171264782547951
iteration 19 err=0.0389185845851898
iteration 20 err=0.0285731162875891
iter 1  psnr=31.3665664115856 dB
iter 2  psnr=30.5972446785202 dB
iter 3  psnr=31.0665698445102 dB
iter 4  psnr=31.3119437705027 dB
iter 5  psnr=31.4969230409691 dB
iter 6  psnr=31.6312376346505 dB
iter 7  psnr=31.7359376727483 dB
iter 8  psnr=31.8371514281994 dB
iter 9  psnr=31.9205747853116 dB
iter 10  psnr=31.9886537653282 dB
iter 11  psnr=32.0588735934976 dB
iter 12  psnr=32.1243222695683 dB
iter 13  psnr=32.1725161137113 dB
iter 14  psnr=32.2111929596366 dB
iter 15  psnr=32.2552300518979 dB
Processing CS-TV: 18630.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=128 PSNR=32.297501 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_128.png
Processing CS-TV roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65844726563
iteration 3 err=191.17121887207
iteration 4 err=53.224006652832
iteration 5 err=9.53464984893799
iteration 6 err=3.79744124412537
iteration 7 err=1.82159733772278
iteration 8 err=2.01280665397644
iteration 9 err=1.6848167181015
iteration 10 err=0.815418004989624
iteration 11 err=0.376381188631058
iteration 12 err=0.244828209280968
iteration 13 err=0.168451800942421
iteration 14 err=0.0963862389326096
iteration 15 err=0.0860912576317787
iteration 16 err=0.082506462931633
iteration 17 err=0.176983833312988
iteration 18 err=0.0377099700272083
iteration 19 err=0.0358353406190872
iteration 20 err=0.0284997951239347
iter 1  psnr=32.2565287424032 dB
iter 2  psnr=31.147717101394 dB
iter 3  psnr=31.5536867993507 dB
iter 4  psnr=31.7970071201488 dB
iter 5  psnr=31.9602453319885 dB
iter 6  psnr=32.0920798496974 dB
iter 7  psnr=32.1999438805246 dB
iter 8  psnr=32.2925365468896 dB
iter 9  psnr=32.3665457942772 dB
iter 10  psnr=32.4286900349366 dB
iter 11  psnr=32.486987330122 dB
iter 12  psnr=32.54121982868 dB
iter 13  psnr=32.5886414116185 dB
iter 14  psnr=32.63663281078 dB
iter 15  psnr=32.6814164482439 dB
Processing CS-TV: 18630.03 ms
RESULT CS-TV IMAGE=mouse RADIUS=140 PSNR=32.721999 TIME=0.100000 FILE=CS-TV/recon_CS-TV_mouse_140.png
Processing CS-TV roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18603515625
iteration 3 err=1209.96252441406
iteration 4 err=269.338256835938
iteration 5 err=98.2792282104492
iteration 6 err=22.0613250732422
iteration 7 err=9.79523086547852
iteration 8 err=7.50024557113647
iteration 9 err=9.35213088989258
iteration 10 err=4.05429935455322
iteration 11 err=2.32087397575378
iteration 12 err=1.24723970890045
iteration 13 err=0.792601048946381
iteration 14 err=0.466383248567581
iteration 15 err=0.373410671949387
iteration 16 err=1.07336497306824
iteration 17 err=0.352854996919632
iteration 18 err=0.348101705312729
iteration 19 err=0.318611621856689
iteration 20 err=0.222957164049149
iter 1  psnr=8.58225940787226 dB
iter 2  psnr=11.9370267430545 dB
iter 3  psnr=10.926947609008 dB
iter 4  psnr=10.5736888450803 dB
iter 5  psnr=10.3861223000044 dB
iter 6  psnr=10.2602417889603 dB
iter 7  psnr=10.1751035697152 dB
iter 8  psnr=10.1076536079291 dB
iter 9  psnr=10.0531404259536 dB
iter 10  psnr=10.0090926342041 dB
iter 11  psnr=9.96537385991257 dB
iter 12  psnr=9.9253627874984 dB
iter 13  psnr=9.89981297941092 dB
iter 14  psnr=9.87687455382618 dB
iter 15  psnr=9.85692378061996 dB
Processing CS-TV: 11385.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=12 PSNR=9.836156 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_12.png
Processing CS-TV roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18359375
iteration 3 err=1209.96142578125
iteration 4 err=269.337890625
iteration 5 err=98.2791290283203
iteration 6 err=22.0614585876465
iteration 7 err=9.80611515045166
iteration 8 err=8.08360576629639
iteration 9 err=10.2535381317139
iteration 10 err=3.76821184158325
iteration 11 err=2.31872415542603
iteration 12 err=1.24722063541412
iteration 13 err=0.792617082595825
iteration 14 err=0.46716645359993
iteration 15 err=0.454326570034027
iteration 16 err=0.986756324768066
iteration 17 err=0.456994831562042
iteration 18 err=0.419412940740585
iteration 19 err=0.225049242377281
iteration 20 err=0.212816268205643
iter 1  psnr=10.7129285606839 dB
iter 2  psnr=13.5463244500193 dB
iter 3  psnr=12.7170811474949 dB
iter 4  psnr=12.3910163808432 dB
iter 5  psnr=12.2376349644923 dB
iter 6  psnr=12.1270364280987 dB
iter 7  psnr=12.0699275488388 dB
iter 8  psnr=12.0232052109803 dB
iter 9  psnr=11.968448688444 dB
iter 10  psnr=11.9341905365389 dB
iter 11  psnr=11.9052813415608 dB
iter 12  psnr=11.882332859857 dB
iter 13  psnr=11.8527934300595 dB
iter 14  psnr=11.8355107532188 dB
iter 15  psnr=11.8222216177297 dB
Processing CS-TV: 11370.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=16 PSNR=11.806588 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_16.png
Processing CS-TV roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18701171875
iteration 3 err=1209.96203613281
iteration 4 err=269.338134765625
iteration 5 err=98.2791519165039
iteration 6 err=22.0612144470215
iteration 7 err=9.78829956054688
iteration 8 err=7.11695146560669
iteration 9 err=6.45916414260864
iteration 10 err=5.1715145111084
iteration 11 err=2.33062958717346
iteration 12 err=1.24732089042664
iteration 13 err=0.792608618736267
iteration 14 err=0.466634541749954
iteration 15 err=0.376418948173523
iteration 16 err=0.592231452465057
iteration 17 err=0.606618106365204
iteration 18 err=0.53393679857254
iteration 19 err=0.229021117091179
iteration 20 err=0.213027089834213
iter 1  psnr=14.3807589618885 dB
iter 2  psnr=16.850078511995 dB
iter 3  psnr=16.0217814749501 dB
iter 4  psnr=15.7633593684187 dB
iter 5  psnr=15.6231665974186 dB
iter 6  psnr=15.5351708656748 dB
iter 7  psnr=15.4603374098 dB
iter 8  psnr=15.4099196073239 dB
iter 9  psnr=15.3714013847729 dB
iter 10  psnr=15.3399720716947 dB
iter 11  psnr=15.3161966848867 dB
iter 12  psnr=15.294642420423 dB
iter 13  psnr=15.2787238680529 dB
iter 14  psnr=15.2613813095855 dB
iter 15  psnr=15.2456462634274 dB
Processing CS-TV: 11520.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=24 PSNR=15.235210 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_24.png
Processing CS-TV roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96240234375
iteration 4 err=269.338104248047
iteration 5 err=98.2791290283203
iteration 6 err=22.0614604949951
iteration 7 err=9.80612564086914
iteration 8 err=8.08444595336914
iteration 9 err=10.2537050247192
iteration 10 err=3.76799964904785
iteration 11 err=2.31871891021729
iteration 12 err=1.24721777439117
iteration 13 err=0.792600572109222
iteration 14 err=0.46654948592186
iteration 15 err=0.413242280483246
iteration 16 err=1.17394053936005
iteration 17 err=0.310230076313019
iteration 18 err=0.255477458238602
iteration 19 err=0.215268462896347
iteration 20 err=0.237680047750473
iter 1  psnr=17.1372434882454 dB
iter 2  psnr=19.1906560589287 dB
iter 3  psnr=18.5131549561151 dB
iter 4  psnr=18.3040723929025 dB
iter 5  psnr=18.1940612502908 dB
iter 6  psnr=18.1296906847693 dB
iter 7  psnr=18.082130768759 dB
iter 8  psnr=18.0462659534154 dB
iter 9  psnr=18.0188166984789 dB
iter 10  psnr=17.9974260631367 dB
iter 11  psnr=17.9747739240729 dB
iter 12  psnr=17.9608703039866 dB
iter 13  psnr=17.9454198055614 dB
iter 14  psnr=17.9328002068929 dB
iter 15  psnr=17.9175961470497 dB
Processing CS-TV: 11360.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=32 PSNR=17.908584 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_32.png
Processing CS-TV roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1875
iteration 3 err=1209.96264648438
iteration 4 err=269.338348388672
iteration 5 err=98.2792510986328
iteration 6 err=22.0612316131592
iteration 7 err=9.78814220428467
iteration 8 err=7.10767269134521
iteration 9 err=6.3343334197998
iteration 10 err=5.2551531791687
iteration 11 err=2.33147311210632
iteration 12 err=1.24732983112335
iteration 13 err=0.792602181434631
iteration 14 err=0.466351538896561
iteration 15 err=0.365507543087006
iteration 16 err=0.543208241462708
iteration 17 err=0.531959533691406
iteration 18 err=0.364794731140137
iteration 19 err=0.310485690832138
iteration 20 err=0.221297234296799
iter 1  psnr=21.2643403159005 dB
iter 2  psnr=22.6767104964806 dB
iter 3  psnr=22.1880465453706 dB
iter 4  psnr=22.0524046085847 dB
iter 5  psnr=21.985348386927 dB
iter 6  psnr=21.9319626308031 dB
iter 7  psnr=21.8957702972168 dB
iter 8  psnr=21.8699621796218 dB
iter 9  psnr=21.8466446980581 dB
iter 10  psnr=21.8351555582544 dB
iter 11  psnr=21.8240479513909 dB
iter 12  psnr=21.8098348266616 dB
iter 13  psnr=21.7992965344119 dB
iter 14  psnr=21.7921372783224 dB
iter 15  psnr=21.7838256785461 dB
Processing CS-TV: 11445.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=48 PSNR=21.776122 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_48.png
Processing CS-TV roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18603515625
iteration 3 err=1209.96228027344
iteration 4 err=269.338104248047
iteration 5 err=98.2791366577148
iteration 6 err=22.0613021850586
iteration 7 err=9.79535007476807
iteration 8 err=7.50720596313477
iteration 9 err=9.37829685211182
iteration 10 err=4.04750156402588
iteration 11 err=2.32081747055054
iteration 12 err=1.24723720550537
iteration 13 err=0.792605400085449
iteration 14 err=0.46656146645546
iteration 15 err=0.383305072784424
iteration 16 err=1.10930943489075
iteration 17 err=0.407300174236298
iteration 18 err=0.499669551849365
iteration 19 err=0.233978599309921
iteration 20 err=0.213376939296722
iter 1  psnr=24.8038350422293 dB
iter 2  psnr=26.075692471772 dB
iter 3  psnr=25.6297894525053 dB
iter 4  psnr=25.5068985045322 dB
iter 5  psnr=25.4501259499689 dB
iter 6  psnr=25.4162682113561 dB
iter 7  psnr=25.3945103293641 dB
iter 8  psnr=25.3775374183069 dB
iter 9  psnr=25.3673811316897 dB
iter 10  psnr=25.357696814354 dB
iter 11  psnr=25.3501078776086 dB
iter 12  psnr=25.3435938094062 dB
iter 13  psnr=25.3379799093295 dB
iter 14  psnr=25.3327060177009 dB
iter 15  psnr=25.3280638490065 dB
Processing CS-TV: 11335.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=64 PSNR=25.323523 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_64.png
Processing CS-TV roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.9619140625
iteration 4 err=269.337982177734
iteration 5 err=98.2791061401367
iteration 6 err=22.0612850189209
iteration 7 err=9.79494857788086
iteration 8 err=7.48573637008667
iteration 9 err=9.29570960998535
iteration 10 err=4.06893253326416
iteration 11 err=2.3209810256958
iteration 12 err=1.24723887443542
iteration 13 err=0.792626082897186
iteration 14 err=0.467215150594711
iteration 15 err=0.402592658996582
iteration 16 err=0.798304080963135
iteration 17 err=0.659679293632507
iteration 18 err=0.400743454694748
iteration 19 err=0.223210081458092
iteration 20 err=0.212699607014656
iter 1  psnr=28.1639707119974 dB
iter 2  psnr=28.9922242519746 dB
iter 3  psnr=28.7529301368455 dB
iter 4  psnr=28.7212155928951 dB
iter 5  psnr=28.7212074582126 dB
iter 6  psnr=28.7267220232467 dB
iter 7  psnr=28.7328939504649 dB
iter 8  psnr=28.7425361654318 dB
iter 9  psnr=28.7513909478979 dB
iter 10  psnr=28.7572788611969 dB
iter 11  psnr=28.7623288428292 dB
iter 12  psnr=28.7671266234043 dB
iter 13  psnr=28.7712527362763 dB
iter 14  psnr=28.7754758854643 dB
iter 15  psnr=28.7764905827878 dB
Processing CS-TV: 11330.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=80 PSNR=28.778916 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_80.png
Processing CS-TV roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1826171875
iteration 3 err=1209.96154785156
iteration 4 err=269.337951660156
iteration 5 err=98.2790603637695
iteration 6 err=22.0616416931152
iteration 7 err=9.82067680358887
iteration 8 err=8.82796001434326
iteration 9 err=10.0072250366211
iteration 10 err=3.6575334072113
iteration 11 err=2.3179190158844
iteration 12 err=1.24720931053162
iteration 13 err=0.792612910270691
iteration 14 err=0.467057168483734
iteration 15 err=0.44246432185173
iteration 16 err=1.03016793727875
iteration 17 err=0.444654047489166
iteration 18 err=0.430815607309341
iteration 19 err=0.225732535123825
iteration 20 err=0.212857946753502
iter 1  psnr=30.3954561912926 dB
iter 2  psnr=30.6768868726242 dB
iter 3  psnr=30.6960674963301 dB
iter 4  psnr=30.7480269874549 dB
iter 5  psnr=30.7889545340618 dB
iter 6  psnr=30.8436395639659 dB
iter 7  psnr=30.8717018908713 dB
iter 8  psnr=30.8637472816972 dB
iter 9  psnr=30.8913511803095 dB
iter 10  psnr=30.9206443231152 dB
iter 11  psnr=30.9274435781046 dB
iter 12  psnr=30.9338205352885 dB
iter 13  psnr=30.9425674030331 dB
iter 14  psnr=30.945407558219 dB
iter 15  psnr=30.9496255270344 dB
Processing CS-TV: 11335.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=96 PSNR=30.952282 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_96.png
Processing CS-TV roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18603515625
iteration 3 err=1209.96215820313
iteration 4 err=269.338073730469
iteration 5 err=98.2791213989258
iteration 6 err=22.0613021850586
iteration 7 err=9.79545497894287
iteration 8 err=7.51327323913574
iteration 9 err=9.40061378479004
iteration 10 err=4.04170989990234
iteration 11 err=2.32076668739319
iteration 12 err=1.2472335100174
iteration 13 err=0.792601227760315
iteration 14 err=0.466540455818176
iteration 15 err=0.389329195022583
iteration 16 err=1.21600413322449
iteration 17 err=0.369460791349411
iteration 18 err=0.504616558551788
iteration 19 err=0.239774093031883
iteration 20 err=0.213765487074852
iter 1  psnr=33.0944231182297 dB
iter 2  psnr=32.8717648243322 dB
iter 3  psnr=33.0519601037456 dB
iter 4  psnr=33.1822432007679 dB
iter 5  psnr=33.2704478733731 dB
iter 6  psnr=33.3521276023747 dB
iter 7  psnr=33.4357095297214 dB
iter 8  psnr=33.4810151329129 dB
iter 9  psnr=33.5149808227147 dB
iter 10  psnr=33.5451338288662 dB
iter 11  psnr=33.5710296681584 dB
iter 12  psnr=33.5964646789891 dB
iter 13  psnr=33.609511918655 dB
iter 14  psnr=33.6296003694854 dB
iter 15  psnr=33.6295396541146 dB
Processing CS-TV: 11345.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=128 PSNR=33.642492 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_128.png
Processing CS-TV roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1845703125
iteration 3 err=1209.96215820313
iteration 4 err=269.338165283203
iteration 5 err=98.279182434082
iteration 6 err=22.0613021850586
iteration 7 err=9.79479503631592
iteration 8 err=7.47731065750122
iteration 9 err=9.26166343688965
iteration 10 err=4.07780170440674
iteration 11 err=2.32104897499084
iteration 12 err=1.24723839759827
iteration 13 err=0.792618989944458
iteration 14 err=0.467034697532654
iteration 15 err=0.395685821771622
iteration 16 err=0.815156579017639
iteration 17 err=0.620886445045471
iteration 18 err=0.41688746213913
iteration 19 err=0.223970800638199
iteration 20 err=0.212743580341339
iter 1  psnr=34.5186649296287 dB
iter 2  psnr=33.9226227195595 dB
iter 3  psnr=34.2115146233892 dB
iter 4  psnr=34.3900443886052 dB
iter 5  psnr=34.5154680788547 dB
iter 6  psnr=34.613832435608 dB
iter 7  psnr=34.6915031649671 dB
iter 8  psnr=34.7515440451577 dB
iter 9  psnr=34.8024176758363 dB
iter 10  psnr=34.8441042860556 dB
iter 11  psnr=34.8804403074139 dB
iter 12  psnr=34.9050577371388 dB
iter 13  psnr=34.9258427024064 dB
iter 14  psnr=34.9401827065544 dB
iter 15  psnr=34.9572124744158 dB
Processing CS-TV: 11330.02 ms
RESULT CS-TV IMAGE=abdomen RADIUS=140 PSNR=34.964569 TIME=0.100000 FILE=CS-TV/recon_CS-TV_abdomen_140.png
Processing CS-shearlet roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65942382813
iteration 3 err=191.171371459961
iteration 4 err=53.2240180969238
iteration 5 err=9.53465843200684
iteration 6 err=3.79770088195801
iteration 7 err=1.84643006324768
iteration 8 err=2.73342251777649
iteration 9 err=1.4523651599884
iteration 10 err=0.788099229335785
iteration 11 err=0.376258075237274
iteration 12 err=0.24482698738575
iteration 13 err=0.16845178604126
iteration 14 err=0.0964168906211853
iteration 15 err=0.0913387387990952
iteration 16 err=0.167683556675911
iteration 17 err=0.0819016695022583
iteration 18 err=0.0373339429497719
iteration 19 err=0.0358350053429604
iteration 20 err=0.0285295378416777
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=4.43942583602198 dB
iter 2  psnr=2.97606914702119 dB
iter 3  psnr=2.18798522786765 dB
iter 4  psnr=2.40584670444984 dB
iter 5  psnr=2.65342906129669 dB
iter 6  psnr=2.85552392522844 dB
iter 7  psnr=3.01879637541841 dB
iter 8  psnr=3.15284436767758 dB
iter 9  psnr=3.26528277473195 dB
iter 10  psnr=3.36135577711231 dB
iter 11  psnr=3.44434961949105 dB
iter 12  psnr=3.51688888721028 dB
iter 13  psnr=3.58100337905544 dB
iter 14  psnr=3.63820305674542 dB
iter 15  psnr=3.68948044690747 dB
iter 16  psnr=3.73581490245162 dB
iter 17  psnr=3.77774934585177 dB
iter 18  psnr=3.81588738833504 dB
iter 19  psnr=3.85071962537394 dB
iter 20  psnr=3.88268680922763 dB
Processing CS-shearlet: 22870.03 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=12 PSNR=3.912060 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_12.png
Processing CS-shearlet roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65881347656
iteration 3 err=191.171279907227
iteration 4 err=53.2240180969238
iteration 5 err=9.5346508026123
iteration 6 err=3.79731917381287
iteration 7 err=1.80994141101837
iteration 8 err=1.54109382629395
iteration 9 err=1.21708583831787
iteration 10 err=1.1676926612854
iteration 11 err=0.378311336040497
iteration 12 err=0.244838207960129
iteration 13 err=0.16845141351223
iteration 14 err=0.0963841155171394
iteration 15 err=0.0857746303081512
iteration 16 err=0.0700436159968376
iteration 17 err=0.225913777947426
iteration 18 err=0.0391452498733997
iteration 19 err=0.0358444713056087
iteration 20 err=0.028655931353569
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=6.69668035259862 dB
iter 2  psnr=5.46295073113027 dB
iter 3  psnr=4.78269256861974 dB
iter 4  psnr=4.99599040973953 dB
iter 5  psnr=5.21080823208713 dB
iter 6  psnr=5.37963086769507 dB
iter 7  psnr=5.51400548308299 dB
iter 8  psnr=5.62404881832538 dB
iter 9  psnr=5.71633155285777 dB
iter 10  psnr=5.79474446600286 dB
iter 11  psnr=5.86280964092648 dB
iter 12  psnr=5.92249573198671 dB
iter 13  psnr=5.97532354589396 dB
iter 14  psnr=6.0224760840516 dB
iter 15  psnr=6.0647619724669 dB
iter 16  psnr=6.10299759561441 dB
iter 17  psnr=6.13785804636403 dB
iter 18  psnr=6.1695995360165 dB
iter 19  psnr=6.19858714088969 dB
iter 20  psnr=6.22529630127836 dB
Processing CS-shearlet: 24240.03 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=16 PSNR=6.249956 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_16.png
Processing CS-shearlet roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65832519531
iteration 3 err=191.171234130859
iteration 4 err=53.2240028381348
iteration 5 err=9.5346508026123
iteration 6 err=3.79743790626526
iteration 7 err=1.82128155231476
iteration 8 err=2.0013575553894
iteration 9 err=1.68866121768951
iteration 10 err=0.816451609134674
iteration 11 err=0.376386314630508
iteration 12 err=0.244828671216965
iteration 13 err=0.168452098965645
iteration 14 err=0.096388079226017
iteration 15 err=0.0863843187689781
iteration 16 err=0.092779353260994
iteration 17 err=0.144688442349434
iteration 18 err=0.0375399030745029
iteration 19 err=0.0358347743749619
iteration 20 err=0.0285058338195086
{ { 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=10.1825171510492 dB
iter 2  psnr=9.08682876637791 dB
iter 3  psnr=8.54708101877606 dB
iter 4  psnr=8.76234384825037 dB
iter 5  psnr=8.95297346309035 dB
iter 6  psnr=9.09828684281285 dB
iter 7  psnr=9.21268456577224 dB
iter 8  psnr=9.30571316552846 dB
iter 9  psnr=9.38303623368532 dB
iter 10  psnr=9.44855728527695 dB
iter 11  psnr=9.50495488725636 dB
iter 12  psnr=9.55426444337692 dB
iter 13  psnr=9.5975062744943 dB
iter 14  psnr=9.63587924367375 dB
iter 15  psnr=9.67029173214301 dB
iter 16  psnr=9.70118265529813 dB
iter 17  psnr=9.72919042412576 dB
iter 18  psnr=9.75456837793477 dB
iter 19  psnr=9.77766945147271 dB
iter 20  psnr=9.79892579525371 dB
Processing CS-shearlet: 26415.04 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=24 PSNR=9.818624 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_24.png
Processing CS-shearlet roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65954589844
iteration 3 err=191.171310424805
iteration 4 err=53.2240219116211
iteration 5 err=9.53465843200684
iteration 6 err=3.79768824577332
iteration 7 err=1.84509861469269
iteration 8 err=2.70247006416321
iteration 9 err=1.46026980876923
iteration 10 err=0.788624048233032
iteration 11 err=0.376261591911316
iteration 12 err=0.24482786655426
iteration 13 err=0.168452203273773
iteration 14 err=0.0964060351252556
iteration 15 err=0.0894558057188988
iteration 16 err=0.15336686372757
iteration 17 err=0.0874756351113319
iteration 18 err=0.0373485945165157
iteration 19 err=0.0358341634273529
iteration 20 err=0.0284960456192493
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=12.7706526525624 dB
iter 2  psnr=11.6828676441098 dB
iter 3  psnr=11.2643163617154 dB
iter 4  psnr=11.4916216492817 dB
iter 5  psnr=11.6752801907612 dB
iter 6  psnr=11.8121785912086 dB
iter 7  psnr=11.9187054496896 dB
iter 8  psnr=12.004210100353 dB
iter 9  psnr=12.0750205260025 dB
iter 10  psnr=12.1346172863044 dB
iter 11  psnr=12.185660119604 dB
iter 12  psnr=12.2300140344915 dB
iter 13  psnr=12.2690666568774 dB
iter 14  psnr=12.3036137629237 dB
iter 15  psnr=12.3344942555157 dB
iter 16  psnr=12.3623152071647 dB
iter 17  psnr=12.3873569657646 dB
iter 18  psnr=12.4101067353463 dB
iter 19  psnr=12.4308743923337 dB
iter 20  psnr=12.4499187451445 dB
Processing CS-shearlet: 28175.04 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=32 PSNR=12.467390 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_32.png
Processing CS-shearlet roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65832519531
iteration 3 err=191.171127319336
iteration 4 err=53.2239608764648
iteration 5 err=9.53464126586914
iteration 6 err=3.79744076728821
iteration 7 err=1.82210040092468
iteration 8 err=2.03107523918152
iteration 9 err=1.67853677272797
iteration 10 err=0.813854455947876
iteration 11 err=0.376373320817947
iteration 12 err=0.244827762246132
iteration 13 err=0.168451458215714
iteration 14 err=0.0963847413659096
iteration 15 err=0.085867702960968
iteration 16 err=0.0738678202033043
iteration 17 err=0.219872653484344
iteration 18 err=0.0382064133882523
iteration 19 err=0.0358441770076752
iteration 20 err=0.0287282131612301
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673}, 0.0943808983544832}
iter 1  psnr=17.2992072092194 dB
iter 2  psnr=16.0860283989263 dB
iter 3  psnr=15.798154419632 dB
iter 4  psnr=16.0577081811194 dB
iter 5  psnr=16.2472952725625 dB
iter 6  psnr=16.3844341046972 dB
iter 7  psnr=16.4896148246139 dB
iter 8  psnr=16.5735237649741 dB
iter 9  psnr=16.642510906071 dB
iter 10  psnr=16.7004772246252 dB
iter 11  psnr=16.7499635915713 dB
iter 12  psnr=16.7927910410935 dB
iter 13  psnr=16.8303950089166 dB
iter 14  psnr=16.8636273596799 dB
iter 15  psnr=16.8932666003659 dB
iter 16  psnr=16.919761441246 dB
iter 17  psnr=16.943608221981 dB
iter 18  psnr=16.9652406806315 dB
iter 19  psnr=16.9849160625661 dB
iter 20  psnr=17.0028457315459 dB
Processing CS-shearlet: 30595.04 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=48 PSNR=17.019257 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_48.png
Processing CS-shearlet roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65869140625
iteration 3 err=191.171295166016
iteration 4 err=53.2240142822266
iteration 5 err=9.53465270996094
iteration 6 err=3.79744625091553
iteration 7 err=1.82194566726685
iteration 8 err=2.02538156509399
iteration 9 err=1.68051266670227
iteration 10 err=0.814331293106079
iteration 11 err=0.376375764608383
iteration 12 err=0.244827628135681
iteration 13 err=0.168451234698296
iteration 14 err=0.0963983088731766
iteration 15 err=0.0882685631513596
iteration 16 err=0.137553438544273
iteration 17 err=0.0948243364691734
iteration 18 err=0.0373683758080006
iteration 19 err=0.0358559265732765
iteration 20 err=0.0291952341794968
{ { 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839, 0.232815521335839}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=20.7776595282421 dB
iter 2  psnr=19.4862281422929 dB
iter 3  psnr=19.2913106987784 dB
iter 4  psnr=19.573561578234 dB
iter 5  psnr=19.7691774056976 dB
iter 6  psnr=19.9077502454852 dB
iter 7  psnr=20.0123701764904 dB
iter 8  psnr=20.0944774291146 dB
iter 9  psnr=20.1610869194627 dB
iter 10  psnr=20.2167607749452 dB
iter 11  psnr=20.2639468818729 dB
iter 12  psnr=20.3045716231944 dB
iter 13  psnr=20.3398786933142 dB
iter 14  psnr=20.3710439757643 dB
iter 15  psnr=20.3986658743265 dB
iter 16  psnr=20.4233112150617 dB
iter 17  psnr=20.4455618577952 dB
iter 18  psnr=20.4656797311256 dB
iter 19  psnr=20.4839607341558 dB
iter 20  psnr=20.5006884225059 dB
Processing CS-shearlet: 31565.04 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=64 PSNR=20.515894 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_64.png
Processing CS-shearlet roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65832519531
iteration 3 err=191.171234130859
iteration 4 err=53.2239761352539
iteration 5 err=9.53464508056641
iteration 6 err=3.79743504524231
iteration 7 err=1.82104134559631
iteration 8 err=1.99260950088501
iteration 9 err=1.69154143333435
iteration 10 err=0.817272663116455
iteration 11 err=0.376389503479004
iteration 12 err=0.24482798576355
iteration 13 err=0.168451443314552
iteration 14 err=0.096386693418026
iteration 15 err=0.0862409472465515
iteration 16 err=0.0879196375608444
iteration 17 err=0.157741844654083
iteration 18 err=0.037599865347147
iteration 19 err=0.0358345322310925
iteration 20 err=0.0285023711621761
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1  psnr=24.3605701375466 dB
iter 2  psnr=22.5564376735113 dB
iter 3  psnr=22.5262367958437 dB
iter 4  psnr=22.8865480383666 dB
iter 5  psnr=23.1268010143442 dB
iter 6  psnr=23.2955360085471 dB
iter 7  psnr=23.4223892283009 dB
iter 8  psnr=23.5222643466571 dB
iter 9  psnr=23.6032502325447 dB
iter 10  psnr=23.67046588341 dB
iter 11  psnr=23.7275896238129 dB
iter 12  psnr=23.7768869068176 dB
iter 13  psnr=23.8198749008182 dB
iter 14  psnr=23.8578718287764 dB
iter 15  psnr=23.8917835027414 dB
iter 16  psnr=23.9221115046077 dB
iter 17  psnr=23.9496579393799 dB
iter 18  psnr=23.9747177492993 dB
iter 19  psnr=23.9974844770068 dB
iter 20  psnr=24.0183409424625 dB
Processing CS-shearlet: 31660.04 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=80 PSNR=24.037629 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_80.png
Processing CS-shearlet roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65869140625
iteration 3 err=191.171310424805
iteration 4 err=53.2240257263184
iteration 5 err=9.53464984893799
iteration 6 err=3.79731917381287
iteration 7 err=1.81001889705658
iteration 8 err=1.54459869861603
iteration 9 err=1.23975026607513
iteration 10 err=1.14687407016754
iteration 11 err=0.37817320227623
iteration 12 err=0.244836896657944
iteration 13 err=0.168451115489006
iteration 14 err=0.0963834300637245
iteration 15 err=0.0856886208057404
iteration 16 err=0.0663846358656883
iteration 17 err=0.0564362704753876
iteration 18 err=0.0862919241189957
iteration 19 err=0.0360117405653
iteration 20 err=0.0285200532525778
{ { 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=28.1357035191511 dB
iter 2  psnr=25.7171056235103 dB
iter 3  psnr=25.9219710049115 dB
iter 4  psnr=26.3733598351718 dB
iter 5  psnr=26.6542996269627 dB
iter 6  psnr=26.8429575356147 dB
iter 7  psnr=26.980159261326 dB
iter 8  psnr=27.0850696427122 dB
iter 9  psnr=27.1685352210328 dB
iter 10  psnr=27.2370431222195 dB
iter 11  psnr=27.2941515779304 dB
iter 12  psnr=27.3425777599277 dB
iter 13  psnr=27.3845211498133 dB
iter 14  psnr=27.4210484121661 dB
iter 15  psnr=27.4533939049184 dB
iter 16  psnr=27.4820928819325 dB
iter 17  psnr=27.5077092350016 dB
iter 18  psnr=27.5308331228154 dB
iter 19  psnr=27.5517584436535 dB
iter 20  psnr=27.5707199920015 dB
Processing CS-shearlet: 31640.04 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=96 PSNR=27.588058 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_96.png
Processing CS-shearlet roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65893554688
iteration 3 err=191.17121887207
iteration 4 err=53.2240028381348
iteration 5 err=9.53464698791504
iteration 6 err=3.79732036590576
iteration 7 err=1.81009721755981
iteration 8 err=1.54803001880646
iteration 9 err=1.26099669933319
iteration 10 err=1.12849104404449
iteration 11 err=0.378056317567825
iteration 12 err=0.244837492704391
iteration 13 err=0.168451949954033
iteration 14 err=0.0963843986392021
iteration 15 err=0.0857659578323364
iteration 16 err=0.0696637108922005
iteration 17 err=0.223073318600655
iteration 18 err=0.0393534898757935
iteration 19 err=0.0358422100543976
iteration 20 err=0.028557887300849
{ { 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472, 0.115779106439472}, { 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673}, 0.0943808983544832}
iter 1  psnr=31.3741601346198 dB
iter 2  psnr=27.7296384828489 dB
iter 3  psnr=28.544489520435 dB
iter 4  psnr=29.0637068641096 dB
iter 5  psnr=29.3609294004652 dB
iter 6  psnr=29.5594585433299 dB
iter 7  psnr=29.7070209332256 dB
iter 8  psnr=29.8236655915094 dB
iter 9  psnr=29.9196177309772 dB
iter 10  psnr=30.0002020794191 dB
iter 11  psnr=30.0688450100477 dB
iter 12  psnr=30.1281302033307 dB
iter 13  psnr=30.1794243332601 dB
iter 14  psnr=30.2246444947945 dB
iter 15  psnr=30.2648156305311 dB
iter 16  psnr=30.3007098282245 dB
iter 17  psnr=30.3331264669894 dB
iter 18  psnr=30.3625524573986 dB
iter 19  psnr=30.3894187702137 dB
iter 20  psnr=30.4139769701008 dB
Processing CS-shearlet: 31605.04 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=128 PSNR=30.436661 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_128.png
Processing CS-shearlet roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.171188354492
iteration 4 err=53.2239799499512
iteration 5 err=9.53464126586914
iteration 6 err=3.79742932319641
iteration 7 err=1.82088530063629
iteration 8 err=1.98702168464661
iteration 9 err=1.69334769248962
iteration 10 err=0.81780880689621
iteration 11 err=0.37639045715332
iteration 12 err=0.24482686817646
iteration 13 err=0.16845066845417
iteration 14 err=0.0963836684823036
iteration 15 err=0.0857973843812943
iteration 16 err=0.0710147768259048
iteration 17 err=0.228678360581398
iteration 18 err=0.0387634821236134
iteration 19 err=0.0358447581529617
iteration 20 err=0.0287209656089544
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=32.1673869151216 dB
iter 2  psnr=28.3657747489871 dB
iter 3  psnr=29.407581148903 dB
iter 4  psnr=29.9009800058559 dB
iter 5  psnr=30.169660765911 dB
iter 6  psnr=30.3476035368661 dB
iter 7  psnr=30.4796466505175 dB
iter 8  psnr=30.5841199214211 dB
iter 9  psnr=30.6694887789488 dB
iter 10  psnr=30.7415632725918 dB
iter 11  psnr=30.8029089428944 dB
iter 12  psnr=30.8556810666648 dB
iter 13  psnr=30.901339285232 dB
iter 14  psnr=30.9412573423032 dB
iter 15  psnr=30.9771761863182 dB
iter 16  psnr=31.0095940460463 dB
iter 17  psnr=31.038663191493 dB
iter 18  psnr=31.0651542531718 dB
iter 19  psnr=31.0893827745145 dB
iter 20  psnr=31.1118041992699 dB
Processing CS-shearlet: 31670.04 ms
RESULT CS-shearlet IMAGE=mouse RADIUS=140 PSNR=31.132457 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_mouse_140.png
Processing CS-shearlet roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18359375
iteration 3 err=1209.96142578125
iteration 4 err=269.337738037109
iteration 5 err=98.2789840698242
iteration 6 err=22.0614109039307
iteration 7 err=9.80518341064453
iteration 8 err=8.03547859191895
iteration 9 err=10.2402362823486
iteration 10 err=3.78045058250427
iteration 11 err=2.31880760192871
iteration 12 err=1.2472175359726
iteration 13 err=0.792614340782166
iteration 14 err=0.467068940401077
iteration 15 err=0.432311356067657
iteration 16 err=1.06387221813202
iteration 17 err=0.46625030040741
iteration 18 err=0.418891996145248
iteration 19 err=0.224982619285584
iteration 20 err=0.212812185287476
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=8.58370119086239 dB
iter 2  psnr=7.27908485780041 dB
iter 3  psnr=6.84867106098786 dB
iter 4  psnr=7.08311521993702 dB
iter 5  psnr=7.30204556750673 dB
iter 6  psnr=7.47389008212767 dB
iter 7  psnr=7.610445837571 dB
iter 8  psnr=7.72162199444365 dB
iter 9  psnr=7.81423990738551 dB
iter 10  psnr=7.89275587571958 dB
iter 11  psnr=7.96060210150992 dB
iter 12  psnr=8.01989758477165 dB
iter 13  psnr=8.0721127515043 dB
iter 14  psnr=8.11859347137081 dB
iter 15  psnr=8.16024959553635 dB
iter 16  psnr=8.19792869255693 dB
iter 17  psnr=8.23224948626319 dB
iter 18  psnr=8.26355107015398 dB
iter 19  psnr=8.2923628949358 dB
iter 20  psnr=8.31906351345033 dB
Processing CS-shearlet: 19395.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=12 PSNR=8.343905 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_12.png
Processing CS-shearlet roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1865234375
iteration 3 err=1209.96276855469
iteration 4 err=269.338226318359
iteration 5 err=98.2792282104492
iteration 6 err=22.0612163543701
iteration 7 err=9.78782367706299
iteration 8 err=7.09009075164795
iteration 9 err=6.08729124069214
iteration 10 err=5.43799114227295
iteration 11 err=2.33336973190308
iteration 12 err=1.24734151363373
iteration 13 err=0.792599678039551
iteration 14 err=0.466396450996399
iteration 15 err=0.366839796304703
iteration 16 err=0.490825802087784
iteration 17 err=0.631219446659088
iteration 18 err=0.502972304821014
iteration 19 err=0.254024773836136
iteration 20 err=0.214771002531052
{ { 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1  psnr=10.7162772751794 dB
iter 2  psnr=9.5567446716855 dB
iter 3  psnr=9.20854743139856 dB
iter 4  psnr=9.42901925678014 dB
iter 5  psnr=9.6217759926733 dB
iter 6  psnr=9.7709226872999 dB
iter 7  psnr=9.88907561773479 dB
iter 8  psnr=9.98551189112434 dB
iter 9  psnr=10.0665898559191 dB
iter 10  psnr=10.1357844841951 dB
iter 11  psnr=10.1956558714703 dB
iter 12  psnr=10.2482092672871 dB
iter 13  psnr=10.2950918755394 dB
iter 14  psnr=10.3369239514951 dB
iter 15  psnr=10.3745862863256 dB
iter 16  psnr=10.4087988825105 dB
iter 17  psnr=10.4399979062868 dB
iter 18  psnr=10.4686653806656 dB
iter 19  psnr=10.4949435610891 dB
iter 20  psnr=10.5192992237239 dB
Processing CS-shearlet: 21325.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=16 PSNR=10.541960 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_16.png
Processing CS-shearlet roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18798828125
iteration 3 err=1209.96276855469
iteration 4 err=269.338317871094
iteration 5 err=98.2792816162109
iteration 6 err=22.0612392425537
iteration 7 err=9.78822135925293
iteration 8 err=7.11160612106323
iteration 9 err=6.38759469985962
iteration 10 err=5.21882247924805
iteration 11 err=2.33110904693604
iteration 12 err=1.24732851982117
iteration 13 err=0.792602956295013
iteration 14 err=0.466343641281128
iteration 15 err=0.364075273275375
iteration 16 err=0.377472519874573
iteration 17 err=0.865356683731079
iteration 18 err=0.359841495752335
iteration 19 err=0.319872587919235
iteration 20 err=0.223048523068428
{ { 0.232815489333758, 0.232815489333758, 0.232815489333758, 0.232815489333758, 0.232815489333758, 0.232815489333758, 0.232815489333758, 0.232815489333758}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531, 0.115779094373531}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=14.3962624107471 dB
iter 2  psnr=13.2247730681433 dB
iter 3  psnr=12.9894856106596 dB
iter 4  psnr=13.2168935754676 dB
iter 5  psnr=13.4001080437629 dB
iter 6  psnr=13.5401136573354 dB
iter 7  psnr=13.6507194591817 dB
iter 8  psnr=13.7408663966722 dB
iter 9  psnr=13.816211106631 dB
iter 10  psnr=13.880401189686 dB
iter 11  psnr=13.9358450139553 dB
iter 12  psnr=13.9844115431513 dB
iter 13  psnr=14.0273338079129 dB
iter 14  psnr=14.0655978126988 dB
iter 15  psnr=14.099984358292 dB
iter 16  psnr=14.131181031886 dB
iter 17  psnr=14.1596762332163 dB
iter 18  psnr=14.185888148119 dB
iter 19  psnr=14.2100014708262 dB
iter 20  psnr=14.2323214625256 dB
Processing CS-shearlet: 22105.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=24 PSNR=14.253122 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_24.png
Processing CS-shearlet roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18896484375
iteration 3 err=1209.96325683594
iteration 4 err=269.338317871094
iteration 5 err=98.2792739868164
iteration 6 err=22.061206817627
iteration 7 err=9.78547191619873
iteration 8 err=6.95654296875
iteration 9 err=3.63594436645508
iteration 10 err=5.37387657165527
iteration 11 err=3.14209604263306
iteration 12 err=1.2557110786438
iteration 13 err=0.792626082897186
iteration 14 err=0.466327130794525
iteration 15 err=0.363125115633011
iteration 16 err=0.309450060129166
iteration 17 err=0.313511312007904
iteration 18 err=0.703314125537872
iteration 19 err=0.219498544931412
iteration 20 err=0.161917954683304
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673, 0.0578891852073673}, 0.0943808983544832}
iter 1  psnr=17.1819562581075 dB
iter 2  psnr=16.2022524460204 dB
iter 3  psnr=15.9679932122158 dB
iter 4  psnr=16.1665421508897 dB
iter 5  psnr=16.3274650932833 dB
iter 6  psnr=16.4517951703878 dB
iter 7  psnr=16.5512605730183 dB
iter 8  psnr=16.6330669763417 dB
iter 9  psnr=16.7018343501059 dB
iter 10  psnr=16.7606111258807 dB
iter 11  psnr=16.8118149730119 dB
iter 12  psnr=16.8567348340371 dB
iter 13  psnr=16.8966991803213 dB
iter 14  psnr=16.9324072758292 dB
iter 15  psnr=16.9647144177079 dB
iter 16  psnr=16.9939621716736 dB
iter 17  psnr=17.0206152723231 dB
iter 18  psnr=17.0450193366306 dB
iter 19  psnr=17.0674750329596 dB
iter 20  psnr=17.0883614695592 dB
Processing CS-shearlet: 22175.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=32 PSNR=17.107717 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_32.png
Processing CS-shearlet roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96240234375
iteration 4 err=269.338165283203
iteration 5 err=98.2791900634766
iteration 6 err=22.0613040924072
iteration 7 err=9.79473686218262
iteration 8 err=7.47381019592285
iteration 9 err=9.24721336364746
iteration 10 err=4.08156776428223
iteration 11 err=2.32107520103455
iteration 12 err=1.24723625183105
iteration 13 err=0.792601108551025
iteration 14 err=0.466504961252213
iteration 15 err=0.383899599313736
iteration 16 err=1.18436253070831
iteration 17 err=0.371876448392868
iteration 18 err=0.50379878282547
iteration 19 err=0.242117494344711
iteration 20 err=0.21392859518528
{ { 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492, 0.115779102417492}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=21.2719710386234 dB
iter 2  psnr=20.3694205242042 dB
iter 3  psnr=20.1462629605711 dB
iter 4  psnr=20.3419558796263 dB
iter 5  psnr=20.5025053563626 dB
iter 6  psnr=20.6266711637218 dB
iter 7  psnr=20.7251150815581 dB
iter 8  psnr=20.8052054681278 dB
iter 9  psnr=20.8717527296168 dB
iter 10  psnr=20.9279756322803 dB
iter 11  psnr=20.9762404032499 dB
iter 12  psnr=21.0184420985338 dB
iter 13  psnr=21.0556587457788 dB
iter 14  psnr=21.0887207451803 dB
iter 15  psnr=21.1184361462252 dB
iter 16  psnr=21.1452840695337 dB
iter 17  psnr=21.1697669853624 dB
iter 18  psnr=21.1921843415993 dB
iter 19  psnr=21.2128881357027 dB
iter 20  psnr=21.2319515165719 dB
Processing CS-shearlet: 22115.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=48 PSNR=21.249684 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_48.png
Processing CS-shearlet roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18701171875
iteration 3 err=1209.96240234375
iteration 4 err=269.338195800781
iteration 5 err=98.2792358398438
iteration 6 err=22.0612277984619
iteration 7 err=9.78812503814697
iteration 8 err=7.1066689491272
iteration 9 err=6.32064580917358
iteration 10 err=5.26465845108032
iteration 11 err=2.33156895637512
iteration 12 err=1.24733030796051
iteration 13 err=0.79260241985321
iteration 14 err=0.466375738382339
iteration 15 err=0.365493446588516
iteration 16 err=0.415875107049942
iteration 17 err=0.754416346549988
iteration 18 err=0.481520622968674
iteration 19 err=0.266509532928467
iteration 20 err=0.215768292546272
{ { 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278, 0.232815497334278}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=24.8070135596395 dB
iter 2  psnr=23.6595671850255 dB
iter 3  psnr=23.5450036607868 dB
iter 4  psnr=23.7919159629423 dB
iter 5  psnr=23.981876335721 dB
iter 6  psnr=24.1257977652213 dB
iter 7  psnr=24.2389394487333 dB
iter 8  psnr=24.3307839991413 dB
iter 9  psnr=24.4069699707048 dB
iter 10  psnr=24.4715101481028 dB
iter 11  psnr=24.527027381197 dB
iter 12  psnr=24.5755893747424 dB
iter 13  psnr=24.618403334873 dB
iter 14  psnr=24.6567663421824 dB
iter 15  psnr=24.6914595160215 dB
iter 16  psnr=24.7229818866937 dB
iter 17  psnr=24.7518495329468 dB
iter 18  psnr=24.7782123382095 dB
iter 19  psnr=24.8026917170304 dB
iter 20  psnr=24.8252971364865 dB
Processing CS-shearlet: 22165.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=64 PSNR=24.846243 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_64.png
Processing CS-shearlet roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18505859375
iteration 3 err=1209.96142578125
iteration 4 err=269.337890625
iteration 5 err=98.2790908813477
iteration 6 err=22.0612812042236
iteration 7 err=9.79485511779785
iteration 8 err=7.4804162979126
iteration 9 err=9.27429389953613
iteration 10 err=4.07452201843262
iteration 11 err=2.3210301399231
iteration 12 err=1.24724280834198
iteration 13 err=0.792645633220673
iteration 14 err=0.4677973985672
iteration 15 err=0.421455323696136
iteration 16 err=0.666295409202576
iteration 17 err=0.690827190876007
iteration 18 err=0.415263205766678
iteration 19 err=0.222237423062325
iteration 20 err=0.212630093097687
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=28.1648346473267 dB
iter 2  psnr=26.8377990922954 dB
iter 3  psnr=26.807069779256 dB
iter 4  psnr=27.0941471053007 dB
iter 5  psnr=27.3068534340211 dB
iter 6  psnr=27.4645410988123 dB
iter 7  psnr=27.5861723962458 dB
iter 8  psnr=27.6832087197728 dB
iter 9  psnr=27.7629386330477 dB
iter 10  psnr=27.829918100589 dB
iter 11  psnr=27.8869350448236 dB
iter 12  psnr=27.9370023672101 dB
iter 13  psnr=27.9809649818505 dB
iter 14  psnr=28.0201815135334 dB
iter 15  psnr=28.0553989442451 dB
iter 16  psnr=28.0873347072008 dB
iter 17  psnr=28.1163575996206 dB
iter 18  psnr=28.1429949567433 dB
iter 19  psnr=28.1677146078466 dB
iter 20  psnr=28.1905540946522 dB
Processing CS-shearlet: 22150.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=80 PSNR=28.212136 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_80.png
Processing CS-shearlet roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18798828125
iteration 3 err=1209.96276855469
iteration 4 err=269.338348388672
iteration 5 err=98.2792434692383
iteration 6 err=22.0612239837646
iteration 7 err=9.78813457489014
iteration 8 err=7.10739994049072
iteration 9 err=6.33065462112427
iteration 10 err=5.25770473480225
iteration 11 err=2.3315007686615
iteration 12 err=1.24733078479767
iteration 13 err=0.792603313922882
iteration 14 err=0.466388344764709
iteration 15 err=0.365939080715179
iteration 16 err=0.416928023099899
iteration 17 err=0.749074757099152
iteration 18 err=0.513325154781342
iteration 19 err=0.258713185787201
iteration 20 err=0.215088754892349
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937, 0.231557987647937}, { 0.11577909035155, 0.11577909035155, 0.11577909035155, 0.11577909035155, 0.11577909035155, 0.11577909035155, 0.11577909035155, 0.11577909035155}, { 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613, 0.0578891811853613}, 0.0943808983544832}
iter 1  psnr=30.3720207706193 dB
iter 2  psnr=28.6921336432176 dB
iter 3  psnr=28.9308960566307 dB
iter 4  psnr=29.292867147857 dB
iter 5  psnr=29.5389730814762 dB
iter 6  psnr=29.7128909952554 dB
iter 7  psnr=29.8421459141115 dB
iter 8  psnr=29.9419715825385 dB
iter 9  psnr=30.0218154127199 dB
iter 10  psnr=30.0873988749351 dB
iter 11  psnr=30.1423799281626 dB
iter 12  psnr=30.1894920931879 dB
iter 13  psnr=30.230634626477 dB
iter 14  psnr=30.2667511497239 dB
iter 15  psnr=30.2989031000939 dB
iter 16  psnr=30.3280514011352 dB
iter 17  psnr=30.3544252168343 dB
iter 18  psnr=30.3793813795564 dB
iter 19  psnr=30.4017361840912 dB
iter 20  psnr=30.4233113268002 dB
Processing CS-shearlet: 22200.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=96 PSNR=30.442804 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_96.png
Processing CS-shearlet roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18505859375
iteration 3 err=1209.9619140625
iteration 4 err=269.337982177734
iteration 5 err=98.2790985107422
iteration 6 err=22.0612735748291
iteration 7 err=9.79478359222412
iteration 8 err=7.47701025009155
iteration 9 err=9.26042652130127
iteration 10 err=4.07812309265137
iteration 11 err=2.32105207443237
iteration 12 err=1.24723923206329
iteration 13 err=0.792621552944183
iteration 14 err=0.467078268527985
iteration 15 err=0.396580845117569
iteration 16 err=0.782585382461548
iteration 17 err=0.641090214252472
iteration 18 err=0.416694074869156
iteration 19 err=0.223766982555389
iteration 20 err=0.212732791900635
{ { 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799, 0.232815505334799}, { 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969, 0.231557979603969}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=33.094630810373 dB
iter 2  psnr=30.87200082654 dB
iter 3  psnr=31.2519717044811 dB
iter 4  psnr=31.6495870679867 dB
iter 5  psnr=31.9254638351303 dB
iter 6  psnr=32.1264566851685 dB
iter 7  psnr=32.279011728571 dB
iter 8  psnr=32.3994573790532 dB
iter 9  psnr=32.4970094211212 dB
iter 10  psnr=32.5780803693602 dB
iter 11  psnr=32.6468614458357 dB
iter 12  psnr=32.7063059380437 dB
iter 13  psnr=32.7583752165808 dB
iter 14  psnr=32.804966402452 dB
iter 15  psnr=32.8454245320037 dB
iter 16  psnr=32.8835613010528 dB
iter 17  psnr=32.9179937204135 dB
iter 18  psnr=32.9495184070568 dB
iter 19  psnr=32.9798795370443 dB
iter 20  psnr=33.0073181991195 dB
Processing CS-shearlet: 22380.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=128 PSNR=33.033610 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_128.png
Processing CS-shearlet roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18359375
iteration 3 err=1209.96179199219
iteration 4 err=269.338073730469
iteration 5 err=98.2791748046875
iteration 6 err=22.0616722106934
iteration 7 err=9.82085227966309
iteration 8 err=8.8357400894165
iteration 9 err=10.0024766921997
iteration 10 err=3.65684771537781
iteration 11 err=2.31792235374451
iteration 12 err=1.24721467494965
iteration 13 err=0.792606830596924
iteration 14 err=0.467212647199631
iteration 15 err=0.549030303955078
iteration 16 err=0.723902344703674
iteration 17 err=0.311583429574966
iteration 18 err=0.384941667318344
iteration 19 err=0.297006487846375
iteration 20 err=0.219221338629723
{ { 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319, 0.232815513335319}, { 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906, 0.231557995691906}, { 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511, 0.115779098395511}, { 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644, 0.0578891831963644}, 0.0943808983544832}
iter 1  psnr=34.518449309201 dB
iter 2  psnr=31.8537633955208 dB
iter 3  psnr=32.4009627467372 dB
iter 4  psnr=32.8596569789137 dB
iter 5  psnr=33.1656251442759 dB
iter 6  psnr=33.3840590841799 dB
iter 7  psnr=33.5482756520874 dB
iter 8  psnr=33.6766916419336 dB
iter 9  psnr=33.780224759509 dB
iter 10  psnr=33.866096533176 dB
iter 11  psnr=33.9388074735459 dB
iter 12  psnr=34.0012248370736 dB
iter 13  psnr=34.0561125623692 dB
iter 14  psnr=34.1048625748232 dB
iter 15  psnr=34.1487390036577 dB
iter 16  psnr=34.1884523563136 dB
iter 17  psnr=34.2257908752772 dB
iter 18  psnr=34.2588422036116 dB
iter 19  psnr=34.2901449670092 dB
iter 20  psnr=34.3194179925114 dB
Processing CS-shearlet: 22795.03 ms
RESULT CS-shearlet IMAGE=abdomen RADIUS=140 PSNR=34.346716 TIME=0.100000 FILE=CS-shearlet/recon_CS-shearlet_abdomen_140.png
Processing DBP roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.46875
iteration 2 err=1898.65942382813
iteration 3 err=191.171310424805
iteration 4 err=53.2240180969238
iteration 5 err=9.53465366363525
iteration 6 err=3.79769372940063
iteration 7 err=1.84614431858063
iteration 8 err=2.72688245773315
iteration 9 err=1.45401918888092
iteration 10 err=0.788208901882172
iteration 11 err=0.376259505748749
iteration 12 err=0.244827792048454
iteration 13 err=0.168452084064484
iteration 14 err=0.0964059084653854
iteration 15 err=0.0894539281725883
iteration 16 err=0.153347849845886
iteration 17 err=0.0874826163053513
iteration 18 err=0.0373483672738075
iteration 19 err=0.035835288465023
iteration 20 err=0.028542272746563
Processing DBP: 90.0001 ms
RESULT DBP IMAGE=mouse RADIUS=12 PSNR=-1.100049 TIME=0.100000 FILE=DBP/recon_DBP_mouse_12.png
Processing DBP roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.46875
iteration 2 err=1898.65893554688
iteration 3 err=191.171203613281
iteration 4 err=53.2239723205566
iteration 5 err=9.53464603424072
iteration 6 err=3.79732489585876
iteration 7 err=1.81064367294312
iteration 8 err=1.57251536846161
iteration 9 err=1.38953173160553
iteration 10 err=1.0354608297348
iteration 11 err=0.377496719360352
iteration 12 err=0.244834408164024
iteration 13 err=0.168451845645905
iteration 14 err=0.0963838174939156
iteration 15 err=0.085686519742012
iteration 16 err=0.0662806779146194
iteration 17 err=0.0405279770493507
iteration 18 err=0.181343883275986
iteration 19 err=0.0372275114059448
iteration 20 err=0.028720123693347
Processing DBP: 70.0001 ms
RESULT DBP IMAGE=mouse RADIUS=16 PSNR=1.376415 TIME=0.100000 FILE=DBP/recon_DBP_mouse_16.png
Processing DBP roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65844726563
iteration 3 err=191.17121887207
iteration 4 err=53.2239952087402
iteration 5 err=9.53464889526367
iteration 6 err=3.79743909835815
iteration 7 err=1.82157838344574
iteration 8 err=2.01221632957459
iteration 9 err=1.6850106716156
iteration 10 err=0.81546676158905
iteration 11 err=0.376379758119583
iteration 12 err=0.244826883077621
iteration 13 err=0.168450847268105
iteration 14 err=0.0963999852538109
iteration 15 err=0.0885727256536484
iteration 16 err=0.142284497618675
iteration 17 err=0.0924062505364418
iteration 18 err=0.0373613350093365
iteration 19 err=0.0358340181410313
iteration 20 err=0.0285093579441309
Processing DBP: 65.0001 ms
RESULT DBP IMAGE=mouse RADIUS=24 PSNR=5.021379 TIME=0.100000 FILE=DBP/recon_DBP_mouse_24.png
Processing DBP roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65808105469
iteration 3 err=191.17121887207
iteration 4 err=53.2240028381348
iteration 5 err=9.53466892242432
iteration 6 err=3.79855251312256
iteration 7 err=1.92785394191742
iteration 8 err=3.7070038318634
iteration 9 err=1.26373386383057
iteration 10 err=0.778326213359833
iteration 11 err=0.376215428113937
iteration 12 err=0.244826942682266
iteration 13 err=0.168454855680466
iteration 14 err=0.0966404378414154
iteration 15 err=0.126448124647141
iteration 16 err=0.137190729379654
iteration 17 err=0.0717857703566551
iteration 18 err=0.0373088829219341
iteration 19 err=0.0358443036675453
iteration 20 err=0.0288310088217258
Processing DBP: 60 ms
RESULT DBP IMAGE=mouse RADIUS=32 PSNR=7.476537 TIME=0.100000 FILE=DBP/recon_DBP_mouse_32.png
Processing DBP roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65771484375
iteration 3 err=191.171203613281
iteration 4 err=53.2239875793457
iteration 5 err=9.53466510772705
iteration 6 err=3.7984893321991
iteration 7 err=1.92183649539948
iteration 8 err=3.67483258247375
iteration 9 err=1.26948225498199
iteration 10 err=0.778568089008331
iteration 11 err=0.376217097043991
iteration 12 err=0.244827568531036
iteration 13 err=0.168453380465508
iteration 14 err=0.0964915603399277
iteration 15 err=0.103546343743801
iteration 16 err=0.168594226241112
iteration 17 err=0.0739296078681946
iteration 18 err=0.0373140946030617
iteration 19 err=0.0358337610960007
iteration 20 err=0.0284911599010229
Processing DBP: 65 ms
RESULT DBP IMAGE=mouse RADIUS=48 PSNR=11.458716 TIME=0.100000 FILE=DBP/recon_DBP_mouse_48.png
Processing DBP roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65808105469
iteration 3 err=191.171096801758
iteration 4 err=53.2239532470703
iteration 5 err=9.53464794158936
iteration 6 err=3.79765915870667
iteration 7 err=1.84271323680878
iteration 8 err=2.64531636238098
iteration 9 err=1.47534418106079
iteration 10 err=0.78965824842453
iteration 11 err=0.376264899969101
iteration 12 err=0.244826748967171
iteration 13 err=0.168451756238937
iteration 14 err=0.0964361354708672
iteration 15 err=0.0945950075984001
iteration 16 err=0.176274001598358
iteration 17 err=0.0776892751455307
iteration 18 err=0.0373235903680325
iteration 19 err=0.0358458124101162
iteration 20 err=0.0288631208240986
Processing DBP: 65.0001 ms
RESULT DBP IMAGE=mouse RADIUS=64 PSNR=14.198551 TIME=0.100000 FILE=DBP/recon_DBP_mouse_64.png
Processing DBP roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65759277344
iteration 3 err=191.17106628418
iteration 4 err=53.2239418029785
iteration 5 err=9.53465557098389
iteration 6 err=3.79853224754334
iteration 7 err=1.92645764350891
iteration 8 err=3.69988918304443
iteration 9 err=1.26502048969269
iteration 10 err=0.778378248214722
iteration 11 err=0.376215159893036
iteration 12 err=0.244826465845108
iteration 13 err=0.168455600738525
iteration 14 err=0.0967357829213142
iteration 15 err=0.14005608856678
iteration 16 err=0.125239953398705
iteration 17 err=0.0713632702827454
iteration 18 err=0.0373079292476177
iteration 19 err=0.0358508639037609
iteration 20 err=0.0290375165641308
Processing DBP: 60.0001 ms
RESULT DBP IMAGE=mouse RADIUS=80 PSNR=16.233287 TIME=0.100000 FILE=DBP/recon_DBP_mouse_80.png
Processing DBP roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65771484375
iteration 3 err=191.171157836914
iteration 4 err=53.2239990234375
iteration 5 err=9.53466796875
iteration 6 err=3.79912781715393
iteration 7 err=1.98265326023102
iteration 8 err=3.8622932434082
iteration 9 err=1.22832143306732
iteration 10 err=0.77689403295517
iteration 11 err=0.376208961009979
iteration 12 err=0.244827181100845
iteration 13 err=0.16846327483654
iteration 14 err=0.0972543060779572
iteration 15 err=0.201472550630569
iteration 16 err=0.0991962552070618
iteration 17 err=0.0706873089075089
iteration 18 err=0.037306547164917
iteration 19 err=0.0358347184956074
iteration 20 err=0.0285201538354158
Processing DBP: 65.0001 ms
RESULT DBP IMAGE=mouse RADIUS=96 PSNR=17.928404 TIME=0.100000 FILE=DBP/recon_DBP_mouse_96.png
Processing DBP roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65869140625
iteration 3 err=191.171234130859
iteration 4 err=53.2239875793457
iteration 5 err=9.53464794158936
iteration 6 err=3.79744529724121
iteration 7 err=1.82207310199738
iteration 8 err=2.02998685836792
iteration 9 err=1.6789219379425
iteration 10 err=0.813947737216949
iteration 11 err=0.376375108957291
iteration 12 err=0.244828373193741
iteration 13 err=0.168451711535454
iteration 14 err=0.0963845252990723
iteration 15 err=0.0858171284198761
iteration 16 err=0.0718011260032654
iteration 17 err=0.227893024682999
iteration 18 err=0.038553275167942
iteration 19 err=0.0358386561274529
iteration 20 err=0.0285301636904478
Processing DBP: 60.0001 ms
RESULT DBP IMAGE=mouse RADIUS=128 PSNR=18.863303 TIME=0.100000 FILE=DBP/recon_DBP_mouse_128.png
Processing DBP roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65869140625
iteration 3 err=191.171264648438
iteration 4 err=53.2240257263184
iteration 5 err=9.53464889526367
iteration 6 err=3.79732036590576
iteration 7 err=1.81002807617188
iteration 8 err=1.54491603374481
iteration 9 err=1.24173092842102
iteration 10 err=1.14512085914612
iteration 11 err=0.378163278102875
iteration 12 err=0.244838461279869
iteration 13 err=0.168452247977257
iteration 14 err=0.0963841080665588
iteration 15 err=0.0856888964772224
iteration 16 err=0.0663723051548004
iteration 17 err=0.0545110888779163
iteration 18 err=0.091105617582798
iteration 19 err=0.0360376574099064
iteration 20 err=0.0286282822489738
Processing DBP: 100.0002 ms
RESULT DBP IMAGE=mouse RADIUS=140 PSNR=19.028465 TIME=0.100000 FILE=DBP/recon_DBP_mouse_140.png
Processing DBP roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18359375
iteration 3 err=1209.9619140625
iteration 4 err=269.337951660156
iteration 5 err=98.2790756225586
iteration 6 err=22.0614414215088
iteration 7 err=9.80564594268799
iteration 8 err=8.05935192108154
iteration 9 err=10.2476072311401
iteration 10 err=3.77424645423889
iteration 11 err=2.31876373291016
iteration 12 err=1.2472186088562
iteration 13 err=0.792616963386536
iteration 14 err=0.467041969299316
iteration 15 err=0.417494982481003
iteration 16 err=1.09045898914337
iteration 17 err=0.48981899023056
iteration 18 err=0.412769913673401
iteration 19 err=0.224584609270096
iteration 20 err=0.21278803050518
Processing DBP: 40 ms
RESULT DBP IMAGE=abdomen RADIUS=12 PSNR=4.974137 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_12.png
Processing DBP roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1845703125
iteration 3 err=1209.96179199219
iteration 4 err=269.338043212891
iteration 5 err=98.2792129516602
iteration 6 err=22.0614833831787
iteration 7 err=9.80635166168213
iteration 8 err=8.0955696105957
iteration 9 err=10.2559080123901
iteration 10 err=3.7653284072876
iteration 11 err=2.31870436668396
iteration 12 err=1.24721992015839
iteration 13 err=0.79260265827179
iteration 14 err=0.46662575006485
iteration 15 err=0.421022653579712
iteration 16 err=1.1306939125061
iteration 17 err=0.327578365802765
iteration 18 err=0.45955815911293
iteration 19 err=0.262949407100677
iteration 20 err=0.215548306703568
Processing DBP: 40.0001 ms
RESULT DBP IMAGE=abdomen RADIUS=16 PSNR=7.360669 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_16.png
Processing DBP roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.185546875
iteration 3 err=1209.96215820313
iteration 4 err=269.337982177734
iteration 5 err=98.2791213989258
iteration 6 err=22.0612926483154
iteration 7 err=9.79462623596191
iteration 8 err=7.46797561645508
iteration 9 err=9.22280311584473
iteration 10 err=4.08795118331909
iteration 11 err=2.32112884521484
iteration 12 err=1.24723970890045
iteration 13 err=0.792614877223969
iteration 14 err=0.466875076293945
iteration 15 err=0.392514795064926
iteration 16 err=0.943426430225372
iteration 17 err=0.537191569805145
iteration 18 err=0.431133925914764
iteration 19 err=0.225198298692703
iteration 20 err=0.212823271751404
Processing DBP: 45.0001 ms
RESULT DBP IMAGE=abdomen RADIUS=24 PSNR=11.177713 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_24.png
Processing DBP roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1845703125
iteration 3 err=1209.96203613281
iteration 4 err=269.337982177734
iteration 5 err=98.279182434082
iteration 6 err=22.0614604949951
iteration 7 err=9.80605602264404
iteration 8 err=8.0803279876709
iteration 9 err=10.2528257369995
iteration 10 err=3.76901483535767
iteration 11 err=2.31872868537903
iteration 12 err=1.24721896648407
iteration 13 err=0.792604804039001
iteration 14 err=0.466677933931351
iteration 15 err=0.413602650165558
iteration 16 err=1.16286659240723
iteration 17 err=0.366150587797165
iteration 18 err=0.501019895076752
iteration 19 err=0.235874801874161
iteration 20 err=0.213503181934357
Processing DBP: 40.0001 ms
RESULT DBP IMAGE=abdomen RADIUS=32 PSNR=14.204085 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_32.png
Processing DBP roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1845703125
iteration 3 err=1209.96203613281
iteration 4 err=269.337921142578
iteration 5 err=98.2790908813477
iteration 6 err=22.0614395141602
iteration 7 err=9.8063383102417
iteration 8 err=8.09606742858887
iteration 9 err=10.2559652328491
iteration 10 err=3.76519012451172
iteration 11 err=2.31869602203369
iteration 12 err=1.24721682071686
iteration 13 err=0.792605102062225
iteration 14 err=0.466706991195679
iteration 15 err=0.411486595869064
iteration 16 err=1.16701650619507
iteration 17 err=0.382717549800873
iteration 18 err=0.49113517999649
iteration 19 err=0.232396736741066
iteration 20 err=0.213276892900467
Processing DBP: 40 ms
RESULT DBP IMAGE=abdomen RADIUS=48 PSNR=18.190553 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_48.png
Processing DBP roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96203613281
iteration 4 err=269.338043212891
iteration 5 err=98.2791595458984
iteration 6 err=22.0613174438477
iteration 7 err=9.79495143890381
iteration 8 err=7.48487138748169
iteration 9 err=9.29220104217529
iteration 10 err=4.06986045837402
iteration 11 err=2.32099390029907
iteration 12 err=1.24724173545837
iteration 13 err=0.792611300945282
iteration 14 err=0.466643244028091
iteration 15 err=0.379869550466537
iteration 16 err=0.831676483154297
iteration 17 err=0.512802362442017
iteration 18 err=0.481277108192444
iteration 19 err=0.228809803724289
iteration 20 err=0.213043674826622
Processing DBP: 40.0001 ms
RESULT DBP IMAGE=abdomen RADIUS=64 PSNR=20.547947 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_64.png
Processing DBP roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96252441406
iteration 4 err=269.338226318359
iteration 5 err=98.279182434082
iteration 6 err=22.0612964630127
iteration 7 err=9.79433250427246
iteration 8 err=7.45129919052124
iteration 9 err=9.15035343170166
iteration 10 err=4.10698747634888
iteration 11 err=2.32127952575684
iteration 12 err=1.24724161624908
iteration 13 err=0.79260116815567
iteration 14 err=0.466418296098709
iteration 15 err=0.376632183790207
iteration 16 err=1.12932085990906
iteration 17 err=0.356122314929962
iteration 18 err=0.441743195056915
iteration 19 err=0.270715475082397
iteration 20 err=0.21624431014061
Processing DBP: 40.0001 ms
RESULT DBP IMAGE=abdomen RADIUS=80 PSNR=22.304210 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_80.png
Processing DBP roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18603515625
iteration 3 err=1209.96264648438
iteration 4 err=269.338256835938
iteration 5 err=98.2792282104492
iteration 6 err=22.0613193511963
iteration 7 err=9.79465198516846
iteration 8 err=7.4684944152832
iteration 9 err=9.22494697570801
iteration 10 err=4.08740711212158
iteration 11 err=2.3211305141449
iteration 12 err=1.24724328517914
iteration 13 err=0.79260241985321
iteration 14 err=0.466362118721008
iteration 15 err=0.368831396102905
iteration 16 err=0.852882981300354
iteration 17 err=0.388501018285751
iteration 18 err=0.333425283432007
iteration 19 err=0.327881246805191
iteration 20 err=0.225387439131737
Processing DBP: 40.0001 ms
RESULT DBP IMAGE=abdomen RADIUS=96 PSNR=22.981490 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_96.png
Processing DBP roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18359375
iteration 3 err=1209.96240234375
iteration 4 err=269.338195800781
iteration 5 err=98.2792282104492
iteration 6 err=22.0614566802979
iteration 7 err=9.80489540100098
iteration 8 err=8.01946449279785
iteration 9 err=10.2343845367432
iteration 10 err=3.78476977348328
iteration 11 err=2.3188419342041
iteration 12 err=1.24721884727478
iteration 13 err=0.792607545852661
iteration 14 err=0.466817736625671
iteration 15 err=0.427614867687225
iteration 16 err=1.09481632709503
iteration 17 err=0.391575455665588
iteration 18 err=0.478990316390991
iteration 19 err=0.230258360505104
iteration 20 err=0.213139683008194
Processing DBP: 45 ms
RESULT DBP IMAGE=abdomen RADIUS=128 PSNR=23.238519 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_128.png
Processing DBP roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96276855469
iteration 4 err=269.338256835938
iteration 5 err=98.2792739868164
iteration 6 err=22.0614795684814
iteration 7 err=9.80542087554932
iteration 8 err=8.04674530029297
iteration 9 err=10.2439260482788
iteration 10 err=3.77750062942505
iteration 11 err=2.31879186630249
iteration 12 err=1.24721956253052
iteration 13 err=0.792602241039276
iteration 14 err=0.46660178899765
iteration 15 err=0.414858996868134
iteration 16 err=1.16301214694977
iteration 17 err=0.330488562583923
iteration 18 err=0.467234432697296
iteration 19 err=0.259826868772507
iteration 20 err=0.215284183621407
Processing DBP: 40.0001 ms
RESULT DBP IMAGE=abdomen RADIUS=140 PSNR=23.421178 TIME=0.100000 FILE=DBP/recon_DBP_abdomen_140.png
Processing MLEM roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65844726563
iteration 3 err=191.17121887207
iteration 4 err=53.2239761352539
iteration 5 err=9.53464412689209
iteration 6 err=3.79744672775269
iteration 7 err=1.82218945026398
iteration 8 err=2.0341579914093
iteration 9 err=1.67746901512146
iteration 10 err=0.813603043556213
iteration 11 err=0.376372873783112
iteration 12 err=0.244827806949615
iteration 13 err=0.16845141351223
iteration 14 err=0.0963967368006706
iteration 15 err=0.0879582241177559
iteration 16 err=0.132147043943405
iteration 17 err=0.0979018881917
iteration 18 err=0.0373767875134945
iteration 19 err=0.0358350239694119
iteration 20 err=0.0285398531705141
Iteration 1 PSNR_ROI=13.6291916794533 dB
Iteration 2 PSNR_ROI=11.5781508863917 dB
Iteration 3 PSNR_ROI=18.8019591126529 dB
Iteration 4 PSNR_ROI=5.79544414818041 dB
Iteration 5 PSNR_ROI=2.87891634275925 dB
Iteration 6 PSNR_ROI=1.84036171011527 dB
Iteration 7 PSNR_ROI=1.33407826439549 dB
Iteration 8 PSNR_ROI=1.03871535602044 dB
Iteration 9 PSNR_ROI=0.847247134942326 dB
Iteration 10 PSNR_ROI=0.715014162464725 dB
Iteration 11 PSNR_ROI=0.620129879769491 dB
Iteration 12 PSNR_ROI=0.550496997229661 dB
Iteration 13 PSNR_ROI=0.498778249297537 dB
Iteration 14 PSNR_ROI=0.46020068530422 dB
Iteration 15 PSNR_ROI=0.431497441014468 dB
Iteration 16 PSNR_ROI=0.410336169615678 dB
Iteration 17 PSNR_ROI=0.39500386112005 dB
Iteration 18 PSNR_ROI=0.384216651549579 dB
Iteration 19 PSNR_ROI=0.376989511640738 dB
Iteration 20 PSNR_ROI=0.37256324824895 dB
Processing MLEM: 1360.002 ms
RESULT MLEM IMAGE=mouse RADIUS=12 PSNR=0.370341 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_12.png
Processing MLEM roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65930175781
iteration 3 err=191.171295166016
iteration 4 err=53.2239990234375
iteration 5 err=9.53464794158936
iteration 6 err=3.79731917381287
iteration 7 err=1.8100528717041
iteration 8 err=1.54610693454742
iteration 9 err=1.24920129776001
iteration 10 err=1.1385669708252
iteration 11 err=0.378119975328445
iteration 12 err=0.244837358593941
iteration 13 err=0.168451711535454
iteration 14 err=0.0963838994503021
iteration 15 err=0.0856873095035553
iteration 16 err=0.0663027688860893
iteration 17 err=0.0439922139048576
iteration 18 err=0.145824149250984
iteration 19 err=0.0364061594009399
iteration 20 err=0.0285682249814272
Iteration 1 PSNR_ROI=13.3532560971163 dB
Iteration 2 PSNR_ROI=11.3755576843353 dB
Iteration 3 PSNR_ROI=20.3743608908116 dB
Iteration 4 PSNR_ROI=9.56564409048142 dB
Iteration 5 PSNR_ROI=6.26370564215939 dB
Iteration 6 PSNR_ROI=5.04845921361134 dB
Iteration 7 PSNR_ROI=4.42606744705773 dB
Iteration 8 PSNR_ROI=4.041946061874 dB
Iteration 9 PSNR_ROI=3.77913344458295 dB
Iteration 10 PSNR_ROI=3.58847784428384 dB
Iteration 11 PSNR_ROI=3.44530112842197 dB
Iteration 12 PSNR_ROI=3.33547021990781 dB
Iteration 13 PSNR_ROI=3.25008322268262 dB
Iteration 14 PSNR_ROI=3.18312578724526 dB
Iteration 15 PSNR_ROI=3.13034961733895 dB
Iteration 16 PSNR_ROI=3.08863539526288 dB
Iteration 17 PSNR_ROI=3.05564880716936 dB
Iteration 18 PSNR_ROI=3.02959459042123 dB
Iteration 19 PSNR_ROI=3.00908800779923 dB
Iteration 20 PSNR_ROI=2.99304056401039 dB
Processing MLEM: 1410.002 ms
RESULT MLEM IMAGE=mouse RADIUS=16 PSNR=2.980589 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_16.png
Processing MLEM roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65869140625
iteration 3 err=191.171264648438
iteration 4 err=53.2240219116211
iteration 5 err=9.53465366363525
iteration 6 err=3.79731893539429
iteration 7 err=1.80974233150482
iteration 8 err=1.5319846868515
iteration 9 err=1.15336132049561
iteration 10 err=1.2340202331543
iteration 11 err=0.378776639699936
iteration 12 err=0.244840770959854
iteration 13 err=0.168451488018036
iteration 14 err=0.0963838994503021
iteration 15 err=0.0857474505901337
iteration 16 err=0.0689020603895187
iteration 17 err=0.212686762213707
iteration 18 err=0.0399480313062668
iteration 19 err=0.0358426980674267
iteration 20 err=0.0285338275134563
Iteration 1 PSNR_ROI=13.9225729244893 dB
Iteration 2 PSNR_ROI=11.836886114406 dB
Iteration 3 PSNR_ROI=19.282982456586 dB
Iteration 4 PSNR_ROI=15.3854661219661 dB
Iteration 5 PSNR_ROI=11.4905463999644 dB
Iteration 6 PSNR_ROI=9.95814723972891 dB
Iteration 7 PSNR_ROI=9.13406714111074 dB
Iteration 8 PSNR_ROI=8.60248190058917 dB
Iteration 9 PSNR_ROI=8.2258035381614 dB
Iteration 10 PSNR_ROI=7.94515353789174 dB
Iteration 11 PSNR_ROI=7.72992979978476 dB
Iteration 12 PSNR_ROI=7.56187378877404 dB
Iteration 13 PSNR_ROI=7.42904726771117 dB
Iteration 14 PSNR_ROI=7.32315014022341 dB
Iteration 15 PSNR_ROI=7.23818011461321 dB
Iteration 16 PSNR_ROI=7.16967105414323 dB
Iteration 17 PSNR_ROI=7.11423337728944 dB
Iteration 18 PSNR_ROI=7.06925443915904 dB
Iteration 19 PSNR_ROI=7.03269897536769 dB
Iteration 20 PSNR_ROI=7.00296764737166 dB
Processing MLEM: 1325.002 ms
RESULT MLEM IMAGE=mouse RADIUS=24 PSNR=6.978790 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_24.png
Processing MLEM roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65856933594
iteration 3 err=191.171203613281
iteration 4 err=53.2239990234375
iteration 5 err=9.53464794158936
iteration 6 err=3.79743981361389
iteration 7 err=1.8217738866806
iteration 8 err=2.01930022239685
iteration 9 err=1.6825989484787
iteration 10 err=0.814848661422729
iteration 11 err=0.376377642154694
iteration 12 err=0.244827479124069
iteration 13 err=0.168451264500618
iteration 14 err=0.0963884890079498
iteration 15 err=0.0865543559193611
iteration 16 err=0.0982440263032913
iteration 17 err=0.133313074707985
iteration 18 err=0.0374935939908028
iteration 19 err=0.0358346998691559
iteration 20 err=0.0285097844898701
Iteration 1 PSNR_ROI=14.4644448993482 dB
Iteration 2 PSNR_ROI=12.3153985421939 dB
Iteration 3 PSNR_ROI=17.9684430121053 dB
Iteration 4 PSNR_ROI=18.6960045581035 dB
Iteration 5 PSNR_ROI=15.2188256918439 dB
Iteration 6 PSNR_ROI=13.5149752500727 dB
Iteration 7 PSNR_ROI=12.533288837809 dB
Iteration 8 PSNR_ROI=11.8739375080963 dB
Iteration 9 PSNR_ROI=11.3941522482757 dB
Iteration 10 PSNR_ROI=11.0299686725236 dB
Iteration 11 PSNR_ROI=10.7466136119983 dB
Iteration 12 PSNR_ROI=10.5225521531539 dB
Iteration 13 PSNR_ROI=10.3432975736749 dB
Iteration 14 PSNR_ROI=10.1985834337661 dB
Iteration 15 PSNR_ROI=10.0808906025214 dB
Iteration 16 PSNR_ROI=9.98457019933559 dB
Iteration 17 PSNR_ROI=9.90531507515222 dB
Iteration 18 PSNR_ROI=9.83979429197251 dB
Iteration 19 PSNR_ROI=9.78540483533285 dB
Iteration 20 PSNR_ROI=9.74009462147462 dB
Processing MLEM: 1320.002 ms
RESULT MLEM IMAGE=mouse RADIUS=32 PSNR=9.702234 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_32.png
Processing MLEM roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65856933594
iteration 3 err=191.17121887207
iteration 4 err=53.2239799499512
iteration 5 err=9.53464508056641
iteration 6 err=3.79732179641724
iteration 7 err=1.81052827835083
iteration 8 err=1.56746208667755
iteration 9 err=1.36604535579681
iteration 10 err=1.05051708221436
iteration 11 err=0.377582520246506
iteration 12 err=0.244834139943123
iteration 13 err=0.168451234698296
iteration 14 err=0.0963834598660469
iteration 15 err=0.0856926217675209
iteration 16 err=0.0665615424513817
iteration 17 err=0.0804020836949348
iteration 18 err=0.0594232119619846
iteration 19 err=0.0359185002744198
iteration 20 err=0.0289111062884331
Iteration 1 PSNR_ROI=15.816308604098 dB
Iteration 2 PSNR_ROI=13.3007318256041 dB
Iteration 3 PSNR_ROI=17.7556840934519 dB
Iteration 4 PSNR_ROI=21.7228642565307 dB
Iteration 5 PSNR_ROI=20.9836563018037 dB
Iteration 6 PSNR_ROI=19.3746300052157 dB
Iteration 7 PSNR_ROI=18.1706723691504 dB
Iteration 8 PSNR_ROI=17.2870999029722 dB
Iteration 9 PSNR_ROI=16.619370552299 dB
Iteration 10 PSNR_ROI=16.1030479264678 dB
Iteration 11 PSNR_ROI=15.6970446478539 dB
Iteration 12 PSNR_ROI=15.3735682124778 dB
Iteration 13 PSNR_ROI=15.1130400002398 dB
Iteration 14 PSNR_ROI=14.9012444740311 dB
Iteration 15 PSNR_ROI=14.7276526453899 dB
Iteration 16 PSNR_ROI=14.5843230193227 dB
Iteration 17 PSNR_ROI=14.465190576013 dB
Iteration 18 PSNR_ROI=14.3655645751027 dB
Iteration 19 PSNR_ROI=14.2817889928001 dB
Iteration 20 PSNR_ROI=14.2109826292186 dB
Processing MLEM: 1335.002 ms
RESULT MLEM IMAGE=mouse RADIUS=48 PSNR=14.150866 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_48.png
Processing MLEM roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65832519531
iteration 3 err=191.171188354492
iteration 4 err=53.224006652832
iteration 5 err=9.53465461730957
iteration 6 err=3.79769539833069
iteration 7 err=1.84604179859161
iteration 8 err=2.72451567649841
iteration 9 err=1.45461618900299
iteration 10 err=0.788248062133789
iteration 11 err=0.376258939504623
iteration 12 err=0.244827121496201
iteration 13 err=0.168452203273773
iteration 14 err=0.0964329242706299
iteration 15 err=0.0939954221248627
iteration 16 err=0.175624802708626
iteration 17 err=0.0782242640852928
iteration 18 err=0.0373249985277653
iteration 19 err=0.0358351767063141
iteration 20 err=0.0285217389464378
Iteration 1 PSNR_ROI=16.4573735379704 dB
Iteration 2 PSNR_ROI=13.7935566559279 dB
Iteration 3 PSNR_ROI=17.2321280083999 dB
Iteration 4 PSNR_ROI=20.3102561667516 dB
Iteration 5 PSNR_ROI=21.5695792647193 dB
Iteration 6 PSNR_ROI=21.3442288631979 dB
Iteration 7 PSNR_ROI=20.6779318389402 dB
Iteration 8 PSNR_ROI=19.9917327932052 dB
Iteration 9 PSNR_ROI=19.3913258101845 dB
Iteration 10 PSNR_ROI=18.8899948734768 dB
Iteration 11 PSNR_ROI=18.4772057808702 dB
Iteration 12 PSNR_ROI=18.1380605954155 dB
Iteration 13 PSNR_ROI=17.8586875787395 dB
Iteration 14 PSNR_ROI=17.6274696397178 dB
Iteration 15 PSNR_ROI=17.4350484397323 dB
Iteration 16 PSNR_ROI=17.2739840588142 dB
Iteration 17 PSNR_ROI=17.1383861656452 dB
Iteration 18 PSNR_ROI=17.0235846182243 dB
Iteration 19 PSNR_ROI=16.9258698766761 dB
Iteration 20 PSNR_ROI=16.8422761754644 dB
Processing MLEM: 1350.002 ms
RESULT MLEM IMAGE=mouse RADIUS=64 PSNR=16.770426 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_64.png
Processing MLEM roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65759277344
iteration 3 err=191.171157836914
iteration 4 err=53.2239723205566
iteration 5 err=9.5346565246582
iteration 6 err=3.79850220680237
iteration 7 err=1.92360138893127
iteration 8 err=3.68468403816223
iteration 9 err=1.26773917675018
iteration 10 err=0.778493285179138
iteration 11 err=0.376216053962708
iteration 12 err=0.244826912879944
iteration 13 err=0.168456315994263
iteration 14 err=0.0967697650194168
iteration 15 err=0.144680172204971
iteration 16 err=0.121999278664589
iteration 17 err=0.0712638422846794
iteration 18 err=0.0373073220252991
iteration 19 err=0.0358367711305618
iteration 20 err=0.0286071356385946
Iteration 1 PSNR_ROI=17.1914804973623 dB
Iteration 2 PSNR_ROI=14.3123004610686 dB
Iteration 3 PSNR_ROI=17.1930550554839 dB
Iteration 4 PSNR_ROI=19.5091939465614 dB
Iteration 5 PSNR_ROI=20.8861944123576 dB
Iteration 6 PSNR_ROI=21.2909056003292 dB
Iteration 7 PSNR_ROI=21.1686281692575 dB
Iteration 8 PSNR_ROI=20.847388022925 dB
Iteration 9 PSNR_ROI=20.4826276436976 dB
Iteration 10 PSNR_ROI=20.1357172143034 dB
Iteration 11 PSNR_ROI=19.8268147689397 dB
Iteration 12 PSNR_ROI=19.5593991068098 dB
Iteration 13 PSNR_ROI=19.3306758477271 dB
Iteration 14 PSNR_ROI=19.1358810364096 dB
Iteration 15 PSNR_ROI=18.970014919826 dB
Iteration 16 PSNR_ROI=18.8285009398985 dB
Iteration 17 PSNR_ROI=18.7073789769298 dB
Iteration 18 PSNR_ROI=18.603312546351 dB
Iteration 19 PSNR_ROI=18.5135391660836 dB
Iteration 20 PSNR_ROI=18.4357702402886 dB
Processing MLEM: 1335.002 ms
RESULT MLEM IMAGE=mouse RADIUS=80 PSNR=18.368132 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_80.png
Processing MLEM roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.17121887207
iteration 4 err=53.2240028381348
iteration 5 err=9.53465747833252
iteration 6 err=3.79767489433289
iteration 7 err=1.84401965141296
iteration 8 err=2.67693495750427
iteration 9 err=1.46692192554474
iteration 10 err=0.789074718952179
iteration 11 err=0.376262933015823
iteration 12 err=0.244827315211296
iteration 13 err=0.168452247977257
iteration 14 err=0.0964448526501656
iteration 15 err=0.0960168614983559
iteration 16 err=0.176778599619865
iteration 17 err=0.0766655206680298
iteration 18 err=0.0373205617070198
iteration 19 err=0.0358343012630939
iteration 20 err=0.0285170711576939
Iteration 1 PSNR_ROI=17.5093590784754 dB
Iteration 2 PSNR_ROI=14.5169759014718 dB
Iteration 3 PSNR_ROI=16.9249047580249 dB
Iteration 4 PSNR_ROI=18.6489031390632 dB
Iteration 5 PSNR_ROI=19.8225020731025 dB
Iteration 6 PSNR_ROI=20.4057512464068 dB
Iteration 7 PSNR_ROI=20.5952225780801 dB
Iteration 8 PSNR_ROI=20.5740575194403 dB
Iteration 9 PSNR_ROI=20.4558761557421 dB
Iteration 10 PSNR_ROI=20.3012634864616 dB
Iteration 11 PSNR_ROI=20.1401644207965 dB
Iteration 12 PSNR_ROI=19.9864174501398 dB
Iteration 13 PSNR_ROI=19.8457028786839 dB
Iteration 14 PSNR_ROI=19.7196726942722 dB
Iteration 15 PSNR_ROI=19.608065622979 dB
Iteration 16 PSNR_ROI=19.5097818382654 dB
Iteration 17 PSNR_ROI=19.4234251393244 dB
Iteration 18 PSNR_ROI=19.3475631677647 dB
Iteration 19 PSNR_ROI=19.2808552459371 dB
Iteration 20 PSNR_ROI=19.2220971539021 dB
Processing MLEM: 1360.002 ms
RESULT MLEM IMAGE=mouse RADIUS=96 PSNR=19.170234 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_96.png
Processing MLEM roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65795898438
iteration 3 err=191.171081542969
iteration 4 err=53.2239608764648
iteration 5 err=9.53464889526367
iteration 6 err=3.79767751693726
iteration 7 err=1.84450936317444
iteration 8 err=2.68865466117859
iteration 9 err=1.46384644508362
iteration 10 err=0.788865208625793
iteration 11 err=0.376261740922928
iteration 12 err=0.244827017188072
iteration 13 err=0.168451741337776
iteration 14 err=0.0964280813932419
iteration 15 err=0.0932613238692284
iteration 16 err=0.174366354942322
iteration 17 err=0.0789881497621536
iteration 18 err=0.0373268537223339
iteration 19 err=0.0358572043478489
iteration 20 err=0.0292246732860804
Iteration 1 PSNR_ROI=18.2121406318689 dB
Iteration 2 PSNR_ROI=15.0333860041023 dB
Iteration 3 PSNR_ROI=16.7976031092338 dB
Iteration 4 PSNR_ROI=17.7774814366059 dB
Iteration 5 PSNR_ROI=18.4678213146137 dB
Iteration 6 PSNR_ROI=18.878866126358 dB
Iteration 7 PSNR_ROI=19.0915261826573 dB
Iteration 8 PSNR_ROI=19.1828417086847 dB
Iteration 9 PSNR_ROI=19.20604195097 dB
Iteration 10 PSNR_ROI=19.1933704737948 dB
Iteration 11 PSNR_ROI=19.1631771945647 dB
Iteration 12 PSNR_ROI=19.1255629986892 dB
Iteration 13 PSNR_ROI=19.0859485262868 dB
Iteration 14 PSNR_ROI=19.0471472168823 dB
Iteration 15 PSNR_ROI=19.0105335964196 dB
Iteration 16 PSNR_ROI=18.976686336689 dB
Iteration 17 PSNR_ROI=18.9457676347679 dB
Iteration 18 PSNR_ROI=18.9177111188587 dB
Iteration 19 PSNR_ROI=18.8923469183218 dB
Iteration 20 PSNR_ROI=18.8694580983567 dB
Processing MLEM: 1325.002 ms
RESULT MLEM IMAGE=mouse RADIUS=128 PSNR=18.848815 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_128.png
Processing MLEM roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65856933594
iteration 3 err=191.171188354492
iteration 4 err=53.223991394043
iteration 5 err=9.53464698791504
iteration 6 err=3.79732012748718
iteration 7 err=1.81002593040466
iteration 8 err=1.54487240314484
iteration 9 err=1.24147439002991
iteration 10 err=1.14534664154053
iteration 11 err=0.378163695335388
iteration 12 err=0.244837060570717
iteration 13 err=0.168450981378555
iteration 14 err=0.09638362377882
iteration 15 err=0.0857707932591438
iteration 16 err=0.0699051469564438
iteration 17 err=0.225025191903114
iteration 18 err=0.0392150580883026
iteration 19 err=0.0358467698097229
iteration 20 err=0.0287420507520437
Iteration 1 PSNR_ROI=18.4378217168003 dB
Iteration 2 PSNR_ROI=15.1982795903547 dB
Iteration 3 PSNR_ROI=16.7834851478332 dB
Iteration 4 PSNR_ROI=17.5901466406338 dB
Iteration 5 PSNR_ROI=18.1706371653135 dB
Iteration 6 PSNR_ROI=18.53958506953 dB
Iteration 7 PSNR_ROI=18.7541202263413 dB
Iteration 8 PSNR_ROI=18.8687748806051 dB
Iteration 9 PSNR_ROI=18.9230306499447 dB
Iteration 10 PSNR_ROI=18.9423026116508 dB
Iteration 11 PSNR_ROI=18.9420196943789 dB
Iteration 12 PSNR_ROI=18.9312673538414 dB
Iteration 13 PSNR_ROI=18.9152972112433 dB
Iteration 14 PSNR_ROI=18.8971043365591 dB
Iteration 15 PSNR_ROI=18.8783729731671 dB
Iteration 16 PSNR_ROI=18.8600208104237 dB
Iteration 17 PSNR_ROI=18.8425285626824 dB
Iteration 18 PSNR_ROI=18.8261239232065 dB
Iteration 19 PSNR_ROI=18.8108886524493 dB
Iteration 20 PSNR_ROI=18.7968243735384 dB
Processing MLEM: 1360.002 ms
RESULT MLEM IMAGE=mouse RADIUS=140 PSNR=18.783891 TIME=0.100000 FILE=MLEM/recon_MLEM_mouse_140.png
Processing MLEM roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18310546875
iteration 3 err=1209.96215820313
iteration 4 err=269.338104248047
iteration 5 err=98.279167175293
iteration 6 err=22.0616760253906
iteration 7 err=9.82070732116699
iteration 8 err=8.82862091064453
iteration 9 err=10.0068473815918
iteration 10 err=3.65748429298401
iteration 11 err=2.31792283058167
iteration 12 err=1.24721086025238
iteration 13 err=0.792600750923157
iteration 14 err=0.466792732477188
iteration 15 err=0.466243892908096
iteration 16 err=0.926626920700073
iteration 17 err=0.305632025003433
iteration 18 err=0.255496174097061
iteration 19 err=0.215761929750443
iteration 20 err=0.244256064295769
Iteration 1 PSNR_ROI=24.4616169558838 dB
Iteration 2 PSNR_ROI=20.7991311162616 dB
Iteration 3 PSNR_ROI=21.8944991745545 dB
Iteration 4 PSNR_ROI=10.3132055319114 dB
Iteration 5 PSNR_ROI=7.61749775034845 dB
Iteration 6 PSNR_ROI=6.61921778584427 dB
Iteration 7 PSNR_ROI=6.12326033736381 dB
Iteration 8 PSNR_ROI=5.83231928479226 dB
Iteration 9 PSNR_ROI=5.64432329175666 dB
Iteration 10 PSNR_ROI=5.51519869480035 dB
Iteration 11 PSNR_ROI=5.42275928751113 dB
Iteration 12 PSNR_ROI=5.35461428019944 dB
Iteration 13 PSNR_ROI=5.30332981628014 dB
Iteration 14 PSNR_ROI=5.26418464873749 dB
Iteration 15 PSNR_ROI=5.23404156603599 dB
Iteration 16 PSNR_ROI=5.21072651974616 dB
Iteration 17 PSNR_ROI=5.19268307563621 dB
Iteration 18 PSNR_ROI=5.17876477508047 dB
Iteration 19 PSNR_ROI=5.16810527713822 dB
Iteration 20 PSNR_ROI=5.16003837337224 dB
Processing MLEM: 890.0012 ms
RESULT MLEM IMAGE=abdomen RADIUS=12 PSNR=5.154041 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_12.png
Processing MLEM roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96276855469
iteration 4 err=269.338256835938
iteration 5 err=98.2792129516602
iteration 6 err=22.0614700317383
iteration 7 err=9.80558109283447
iteration 8 err=8.05511093139648
iteration 9 err=10.2464370727539
iteration 10 err=3.77534651756287
iteration 11 err=2.3187792301178
iteration 12 err=1.24722218513489
iteration 13 err=0.792602956295013
iteration 14 err=0.466505467891693
iteration 15 err=0.396278232336044
iteration 16 err=1.24913704395294
iteration 17 err=0.330242931842804
iteration 18 err=0.436368465423584
iteration 19 err=0.272686451673508
iteration 20 err=0.216435983777046
Iteration 1 PSNR_ROI=24.1758165938543 dB
Iteration 2 PSNR_ROI=20.5951114154524 dB
Iteration 3 PSNR_ROI=26.9175526499026 dB
Iteration 4 PSNR_ROI=13.6314790242508 dB
Iteration 5 PSNR_ROI=10.6554333800958 dB
Iteration 6 PSNR_ROI=9.51496316360398 dB
Iteration 7 PSNR_ROI=8.91976869447274 dB
Iteration 8 PSNR_ROI=8.55032442480961 dB
Iteration 9 PSNR_ROI=8.29747530992553 dB
Iteration 10 PSNR_ROI=8.11369185582401 dB
Iteration 11 PSNR_ROI=7.97455992406039 dB
Iteration 12 PSNR_ROI=7.86610457879583 dB
Iteration 13 PSNR_ROI=7.77969851488293 dB
Iteration 14 PSNR_ROI=7.70971262857829 dB
Iteration 15 PSNR_ROI=7.65229834489506 dB
Iteration 16 PSNR_ROI=7.60472034732156 dB
Iteration 17 PSNR_ROI=7.56497320795058 dB
Iteration 18 PSNR_ROI=7.53153997185834 dB
Iteration 19 PSNR_ROI=7.50325306980684 dB
Iteration 20 PSNR_ROI=7.47919318148413 dB
Processing MLEM: 965.0014 ms
RESULT MLEM IMAGE=abdomen RADIUS=16 PSNR=7.458628 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_16.png
Processing MLEM roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385053.96875
iteration 2 err=7922.18408203125
iteration 3 err=1209.96215820313
iteration 4 err=269.337982177734
iteration 5 err=98.2791595458984
iteration 6 err=22.0614643096924
iteration 7 err=9.8064546585083
iteration 8 err=8.10151767730713
iteration 9 err=10.2569408416748
iteration 10 err=3.76390814781189
iteration 11 err=2.31869506835938
iteration 12 err=1.24722170829773
iteration 13 err=0.792607247829437
iteration 14 err=0.466716647148132
iteration 15 err=0.426265716552734
iteration 16 err=1.1032452583313
iteration 17 err=0.354364156723022
iteration 18 err=0.503378808498383
iteration 19 err=0.238776504993439
iteration 20 err=0.213700667023659
Iteration 1 PSNR_ROI=22.820690847994 dB
Iteration 2 PSNR_ROI=19.8021059867364 dB
Iteration 3 PSNR_ROI=30.1880436195285 dB
Iteration 4 PSNR_ROI=19.397666240703 dB
Iteration 5 PSNR_ROI=15.7953358919351 dB
Iteration 6 PSNR_ROI=14.3875195515091 dB
Iteration 7 PSNR_ROI=13.6329975672934 dB
Iteration 8 PSNR_ROI=13.1500339567878 dB
Iteration 9 PSNR_ROI=12.8097775659187 dB
Iteration 10 PSNR_ROI=12.5562711681085 dB
Iteration 11 PSNR_ROI=12.3604780503831 dB
Iteration 12 PSNR_ROI=12.2054410148242 dB
Iteration 13 PSNR_ROI=12.0804317012607 dB
Iteration 14 PSNR_ROI=11.9782599195902 dB
Iteration 15 PSNR_ROI=11.8938854900995 dB
Iteration 16 PSNR_ROI=11.82364040682 dB
Iteration 17 PSNR_ROI=11.7647779716309 dB
Iteration 18 PSNR_ROI=11.7151886655346 dB
Iteration 19 PSNR_ROI=11.6732206012173 dB
Iteration 20 PSNR_ROI=11.6375660651512 dB
Processing MLEM: 955.0013 ms
RESULT MLEM IMAGE=abdomen RADIUS=24 PSNR=11.607165 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_24.png
Processing MLEM roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96228027344
iteration 4 err=269.338012695313
iteration 5 err=98.2790985107422
iteration 6 err=22.0614490509033
iteration 7 err=9.80584239959717
iteration 8 err=8.06945705413818
iteration 9 err=10.2502603530884
iteration 10 err=3.77169823646545
iteration 11 err=2.31874680519104
iteration 12 err=1.24721801280975
iteration 13 err=0.792601585388184
iteration 14 err=0.466633588075638
iteration 15 err=0.424151808023453
iteration 16 err=1.11433899402618
iteration 17 err=0.324380040168762
iteration 18 err=0.44522824883461
iteration 19 err=0.268855035305023
iteration 20 err=0.216075420379639
Iteration 1 PSNR_ROI=20.7490151576784 dB
Iteration 2 PSNR_ROI=18.4717944725928 dB
Iteration 3 PSNR_ROI=24.2325485024564 dB
Iteration 4 PSNR_ROI=23.4382764679635 dB
Iteration 5 PSNR_ROI=20.0633272359855 dB
Iteration 6 PSNR_ROI=18.4628943823499 dB
Iteration 7 PSNR_ROI=17.5442606275745 dB
Iteration 8 PSNR_ROI=16.9265362939738 dB
Iteration 9 PSNR_ROI=16.4736012456606 dB
Iteration 10 PSNR_ROI=16.1247948614161 dB
Iteration 11 PSNR_ROI=15.8477042292355 dB
Iteration 12 PSNR_ROI=15.622774510864 dB
Iteration 13 PSNR_ROI=15.4372276077149 dB
Iteration 14 PSNR_ROI=15.2822402257275 dB
Iteration 15 PSNR_ROI=15.1514641313648 dB
Iteration 16 PSNR_ROI=15.0401786235415 dB
Iteration 17 PSNR_ROI=14.944782499063 dB
Iteration 18 PSNR_ROI=14.862474271556 dB
Iteration 19 PSNR_ROI=14.7910322893814 dB
Iteration 20 PSNR_ROI=14.7286821520311 dB
Processing MLEM: 915.0013 ms
RESULT MLEM IMAGE=abdomen RADIUS=32 PSNR=14.673978 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_32.png
Processing MLEM roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18359375
iteration 3 err=1209.96166992188
iteration 4 err=269.337982177734
iteration 5 err=98.2791290283203
iteration 6 err=22.0612869262695
iteration 7 err=9.79433250427246
iteration 8 err=7.45197582244873
iteration 9 err=9.15341472625732
iteration 10 err=4.10617208480835
iteration 11 err=2.32127118110657
iteration 12 err=1.24724185466766
iteration 13 err=0.792634010314941
iteration 14 err=0.467503786087036
iteration 15 err=0.414186775684357
iteration 16 err=0.786317765712738
iteration 17 err=0.706418633460999
iteration 18 err=0.380032598972321
iteration 19 err=0.222461327910423
iteration 20 err=0.212655603885651
Iteration 1 PSNR_ROI=20.0142959346523 dB
Iteration 2 PSNR_ROI=18.0097611473543 dB
Iteration 3 PSNR_ROI=21.502307749747 dB
Iteration 4 PSNR_ROI=24.027372495862 dB
Iteration 5 PSNR_ROI=23.9138629152656 dB
Iteration 6 PSNR_ROI=23.0845258687049 dB
Iteration 7 PSNR_ROI=22.3269882352179 dB
Iteration 8 PSNR_ROI=21.709152243795 dB
Iteration 9 PSNR_ROI=21.2097823867471 dB
Iteration 10 PSNR_ROI=20.8040471241062 dB
Iteration 11 PSNR_ROI=20.4717338868607 dB
Iteration 12 PSNR_ROI=20.1972284874498 dB
Iteration 13 PSNR_ROI=19.9686183287423 dB
Iteration 14 PSNR_ROI=19.7767849511535 dB
Iteration 15 PSNR_ROI=19.6146956655652 dB
Iteration 16 PSNR_ROI=19.4768664387447 dB
Iteration 17 PSNR_ROI=19.3589778220997 dB
Iteration 18 PSNR_ROI=19.2575907447345 dB
Iteration 19 PSNR_ROI=19.1699474010114 dB
Iteration 20 PSNR_ROI=19.0938127905418 dB
Processing MLEM: 920.0012 ms
RESULT MLEM IMAGE=abdomen RADIUS=48 PSNR=19.027368 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_48.png
Processing MLEM roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385053.96875
iteration 2 err=7922.181640625
iteration 3 err=1209.9619140625
iteration 4 err=269.338012695313
iteration 5 err=98.2791290283203
iteration 6 err=22.0619411468506
iteration 7 err=9.8400182723999
iteration 8 err=9.7551326751709
iteration 9 err=9.38749027252197
iteration 10 err=3.60100317001343
iteration 11 err=2.31752252578735
iteration 12 err=1.24720859527588
iteration 13 err=0.792608737945557
iteration 14 err=0.46785295009613
iteration 15 err=0.666955590248108
iteration 16 err=0.59094762802124
iteration 17 err=0.322873324155808
iteration 18 err=0.471740752458572
iteration 19 err=0.257828056812286
iteration 20 err=0.215119376778603
Iteration 1 PSNR_ROI=20.2558478487036 dB
Iteration 2 PSNR_ROI=18.2552973048665 dB
Iteration 3 PSNR_ROI=20.9533010186855 dB
Iteration 4 PSNR_ROI=23.119280306354 dB
Iteration 5 PSNR_ROI=24.1011491930203 dB
Iteration 6 PSNR_ROI=24.2130574143075 dB
Iteration 7 PSNR_ROI=23.9808398821211 dB
Iteration 8 PSNR_ROI=23.6482625372953 dB
Iteration 9 PSNR_ROI=23.3082612429403 dB
Iteration 10 PSNR_ROI=22.9939786922366 dB
Iteration 11 PSNR_ROI=22.7149108349644 dB
Iteration 12 PSNR_ROI=22.4713028907841 dB
Iteration 13 PSNR_ROI=22.2600409234979 dB
Iteration 14 PSNR_ROI=22.0770948759345 dB
Iteration 15 PSNR_ROI=21.9184776692 dB
Iteration 16 PSNR_ROI=21.7805939733989 dB
Iteration 17 PSNR_ROI=21.6603337984297 dB
Iteration 18 PSNR_ROI=21.5550487742221 dB
Iteration 19 PSNR_ROI=21.4625189711132 dB
Iteration 20 PSNR_ROI=21.3808719367869 dB
Processing MLEM: 930.0013 ms
RESULT MLEM IMAGE=abdomen RADIUS=64 PSNR=21.308548 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_64.png
Processing MLEM roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1845703125
iteration 3 err=1209.96252441406
iteration 4 err=269.338134765625
iteration 5 err=98.2791442871094
iteration 6 err=22.0614585876465
iteration 7 err=9.80581474304199
iteration 8 err=8.06794452667236
iteration 9 err=10.2498960494995
iteration 10 err=3.77208733558655
iteration 11 err=2.31875371932983
iteration 12 err=1.24722027778625
iteration 13 err=0.792601108551025
iteration 14 err=0.466519266366959
iteration 15 err=0.403662532567978
iteration 16 err=1.22349488735199
iteration 17 err=0.31854835152626
iteration 18 err=0.356770783662796
iteration 19 err=0.313075929880142
iteration 20 err=0.221816807985306
Iteration 1 PSNR_ROI=20.3729474835427 dB
Iteration 2 PSNR_ROI=18.3219144265305 dB
Iteration 3 PSNR_ROI=20.5765736371545 dB
Iteration 4 PSNR_ROI=22.3578385965511 dB
Iteration 5 PSNR_ROI=23.5170612403971 dB
Iteration 6 PSNR_ROI=24.0545896766498 dB
Iteration 7 PSNR_ROI=24.2185431310311 dB
Iteration 8 PSNR_ROI=24.1929896294329 dB
Iteration 9 PSNR_ROI=24.0803150634794 dB
Iteration 10 PSNR_ROI=23.9334063248171 dB
Iteration 11 PSNR_ROI=23.7786193500963 dB
Iteration 12 PSNR_ROI=23.6285418397439 dB
Iteration 13 PSNR_ROI=23.4887257094214 dB
Iteration 14 PSNR_ROI=23.3611604096635 dB
Iteration 15 PSNR_ROI=23.2460708449469 dB
Iteration 16 PSNR_ROI=23.1428456999128 dB
Iteration 17 PSNR_ROI=23.0505156472965 dB
Iteration 18 PSNR_ROI=22.9680029769444 dB
Iteration 19 PSNR_ROI=22.8942378173203 dB
Iteration 20 PSNR_ROI=22.8282235272655 dB
Processing MLEM: 945.0013 ms
RESULT MLEM IMAGE=abdomen RADIUS=80 PSNR=22.769054 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_80.png
Processing MLEM roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.185546875
iteration 3 err=1209.96215820313
iteration 4 err=269.338043212891
iteration 5 err=98.2791519165039
iteration 6 err=22.0612945556641
iteration 7 err=9.79496574401855
iteration 8 err=7.48659992218018
iteration 9 err=9.29914474487305
iteration 10 err=4.06803417205811
iteration 11 err=2.32097101211548
iteration 12 err=1.24723553657532
iteration 13 err=0.792606472969055
iteration 14 err=0.466694563627243
iteration 15 err=0.394568800926209
iteration 16 err=1.15451574325562
iteration 17 err=0.42521932721138
iteration 18 err=0.472419559955597
iteration 19 err=0.229091569781303
iteration 20 err=0.213064268231392
Iteration 1 PSNR_ROI=20.44958423697 dB
Iteration 2 PSNR_ROI=18.348613528487 dB
Iteration 3 PSNR_ROI=20.2562983048308 dB
Iteration 4 PSNR_ROI=21.6315516753127 dB
Iteration 5 PSNR_ROI=22.5946372048247 dB
Iteration 6 PSNR_ROI=23.1374777176062 dB
Iteration 7 PSNR_ROI=23.4061303131906 dB
Iteration 8 PSNR_ROI=23.5178200089534 dB
Iteration 9 PSNR_ROI=23.543147749789 dB
Iteration 10 PSNR_ROI=23.5222343251535 dB
Iteration 11 PSNR_ROI=23.4776934241997 dB
Iteration 12 PSNR_ROI=23.4222750085263 dB
Iteration 13 PSNR_ROI=23.363139867696 dB
Iteration 14 PSNR_ROI=23.3042541171272 dB
Iteration 15 PSNR_ROI=23.2477387079621 dB
Iteration 16 PSNR_ROI=23.1946519479093 dB
Iteration 17 PSNR_ROI=23.1454260844623 dB
Iteration 18 PSNR_ROI=23.1001449991998 dB
Iteration 19 PSNR_ROI=23.0586930766886 dB
Iteration 20 PSNR_ROI=23.0208508933009 dB
Processing MLEM: 980.0013 ms
RESULT MLEM IMAGE=abdomen RADIUS=96 PSNR=22.986355 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_96.png
Processing MLEM roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18994140625
iteration 3 err=1209.96398925781
iteration 4 err=269.338684082031
iteration 5 err=98.2793884277344
iteration 6 err=22.0612277984619
iteration 7 err=9.78545665740967
iteration 8 err=6.9552001953125
iteration 9 err=3.60499477386475
iteration 10 err=3.95872807502747
iteration 11 err=3.88837957382202
iteration 12 err=1.26808679103851
iteration 13 err=0.792687833309174
iteration 14 err=0.467197090387344
iteration 15 err=0.397407650947571
iteration 16 err=0.606519281864166
iteration 17 err=0.333423554897308
iteration 18 err=0.332888036966324
iteration 19 err=0.471037834882736
iteration 20 err=0.215581119060516
Iteration 1 PSNR_ROI=21.5579807140511 dB
Iteration 2 PSNR_ROI=19.2209400912089 dB
Iteration 3 PSNR_ROI=20.765027144743 dB
Iteration 4 PSNR_ROI=21.6990635776247 dB
Iteration 5 PSNR_ROI=22.3460406372885 dB
Iteration 6 PSNR_ROI=22.726409934501 dB
Iteration 7 PSNR_ROI=22.933908109899 dB
Iteration 8 PSNR_ROI=23.0409590460834 dB
Iteration 9 PSNR_ROI=23.0911054148829 dB
Iteration 10 PSNR_ROI=23.109243457617 dB
Iteration 11 PSNR_ROI=23.1095708856677 dB
Iteration 12 PSNR_ROI=23.1002459696351 dB
Iteration 13 PSNR_ROI=23.0859783497758 dB
Iteration 14 PSNR_ROI=23.0694915436065 dB
Iteration 15 PSNR_ROI=23.0523437502849 dB
Iteration 16 PSNR_ROI=23.035410471016 dB
Iteration 17 PSNR_ROI=23.0191661733775 dB
Iteration 18 PSNR_ROI=23.003840026398 dB
Iteration 19 PSNR_ROI=22.9895314748997 dB
Iteration 20 PSNR_ROI=22.9762524415194 dB
Processing MLEM: 1030.001 ms
RESULT MLEM IMAGE=abdomen RADIUS=128 PSNR=22.963975 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_128.png
Processing MLEM roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96228027344
iteration 4 err=269.338165283203
iteration 5 err=98.2792282104492
iteration 6 err=22.0613136291504
iteration 7 err=9.79475021362305
iteration 8 err=7.47418451309204
iteration 9 err=9.24874496459961
iteration 10 err=4.08117866516113
iteration 11 err=2.32107710838318
iteration 12 err=1.24723887443542
iteration 13 err=0.792603075504303
iteration 14 err=0.466508448123932
iteration 15 err=0.381177693605423
iteration 16 err=1.12556338310242
iteration 17 err=0.387472301721573
iteration 18 err=0.505915701389313
iteration 19 err=0.239266708493233
iteration 20 err=0.213730588555336
Iteration 1 PSNR_ROI=21.8680509994893 dB
Iteration 2 PSNR_ROI=19.520044981614 dB
Iteration 3 PSNR_ROI=20.9514149087012 dB
Iteration 4 PSNR_ROI=21.783808378232 dB
Iteration 5 PSNR_ROI=22.3645183937834 dB
Iteration 6 PSNR_ROI=22.7164732772283 dB
Iteration 7 PSNR_ROI=22.9185117724795 dB
Iteration 8 PSNR_ROI=23.0315455342794 dB
Iteration 9 PSNR_ROI=23.0927903102125 dB
Iteration 10 PSNR_ROI=23.1239129712607 dB
Iteration 11 PSNR_ROI=23.1375041622665 dB
Iteration 12 PSNR_ROI=23.1409486034117 dB
Iteration 13 PSNR_ROI=23.1385980369146 dB
Iteration 14 PSNR_ROI=23.1330406197611 dB
Iteration 15 PSNR_ROI=23.1258150839756 dB
Iteration 16 PSNR_ROI=23.1178339377391 dB
Iteration 17 PSNR_ROI=23.109636074579 dB
Iteration 18 PSNR_ROI=23.1015321485249 dB
Iteration 19 PSNR_ROI=23.0936985813272 dB
Iteration 20 PSNR_ROI=23.0862288071655 dB
Processing MLEM: 1010.001 ms
RESULT MLEM IMAGE=abdomen RADIUS=140 PSNR=23.079167 TIME=0.100000 FILE=MLEM/recon_MLEM_abdomen_140.png
Processing LSCG roi_radius=12
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65771484375
iteration 3 err=191.171173095703
iteration 4 err=53.224006652832
iteration 5 err=9.53467273712158
iteration 6 err=3.79912257194519
iteration 7 err=1.98212063312531
iteration 8 err=3.86166882514954
iteration 9 err=1.22856152057648
iteration 10 err=0.776904106140137
iteration 11 err=0.376208603382111
iteration 12 err=0.244826376438141
iteration 13 err=0.168458893895149
iteration 14 err=0.09698236733675
iteration 15 err=0.171692594885826
iteration 16 err=0.108302123844624
iteration 17 err=0.0708950683474541
iteration 18 err=0.037306372076273
iteration 19 err=0.0358385071158409
iteration 20 err=0.0286676920950413
Processing LSCG: 1145.002 ms
RESULT LSCG IMAGE=mouse RADIUS=12 PSNR=4.430171 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_12.png
Processing LSCG roi_radius=16
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65979003906
iteration 3 err=191.171295166016
iteration 4 err=53.2240371704102
iteration 5 err=9.53465938568115
iteration 6 err=3.7976758480072
iteration 7 err=1.8439929485321
iteration 8 err=2.6763117313385
iteration 9 err=1.46708357334137
iteration 10 err=0.789084494113922
iteration 11 err=0.376262485980988
iteration 12 err=0.244826763868332
iteration 13 err=0.168450757861137
iteration 14 err=0.0963846072554588
iteration 15 err=0.0859821662306786
iteration 16 err=0.0784295499324799
iteration 17 err=0.195734709501266
iteration 18 err=0.037855476140976
iteration 19 err=0.0358344279229641
iteration 20 err=0.0284924786537886
Processing LSCG: 1150.002 ms
RESULT LSCG IMAGE=mouse RADIUS=16 PSNR=6.696615 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_16.png
Processing LSCG roi_radius=24
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65795898438
iteration 3 err=191.171142578125
iteration 4 err=53.2239456176758
iteration 5 err=9.53464317321777
iteration 6 err=3.79766345024109
iteration 7 err=1.84332668781281
iteration 8 err=2.6603147983551
iteration 9 err=1.47132050991058
iteration 10 err=0.789378046989441
iteration 11 err=0.376264661550522
iteration 12 err=0.244827911257744
iteration 13 err=0.168452605605125
iteration 14 err=0.0964262038469315
iteration 15 err=0.0928321555256844
iteration 16 err=0.173349872231483
iteration 17 err=0.0795080959796906
iteration 18 err=0.0373282730579376
iteration 19 err=0.0358490683138371
iteration 20 err=0.0289651956409216
Processing LSCG: 1155.002 ms
RESULT LSCG IMAGE=mouse RADIUS=24 PSNR=10.174473 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_24.png
Processing LSCG roi_radius=32
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65930175781
iteration 3 err=191.171310424805
iteration 4 err=53.2240447998047
iteration 5 err=9.53466320037842
iteration 6 err=3.79770469665527
iteration 7 err=1.84669184684753
iteration 8 err=2.73937320709229
iteration 9 err=1.45086812973022
iteration 10 err=0.788003087043762
iteration 11 err=0.376258552074432
iteration 12 err=0.244827553629875
iteration 13 err=0.168452322483063
iteration 14 err=0.0964365154504776
iteration 15 err=0.0946160182356834
iteration 16 err=0.176291033625603
iteration 17 err=0.0776715874671936
iteration 18 err=0.0373229756951332
iteration 19 err=0.0358337238430977
iteration 20 err=0.0285026654601097
Processing LSCG: 1195.002 ms
RESULT LSCG IMAGE=mouse RADIUS=32 PSNR=12.770709 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_32.png
Processing LSCG roi_radius=48
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65844726563
iteration 3 err=191.171249389648
iteration 4 err=53.2239952087402
iteration 5 err=9.5346508026123
iteration 6 err=3.79767084121704
iteration 7 err=1.84384739398956
iteration 8 err=2.67283773422241
iteration 9 err=1.46799850463867
iteration 10 err=0.789147555828094
iteration 11 err=0.376262813806534
iteration 12 err=0.244827121496201
iteration 13 err=0.168452352285385
iteration 14 err=0.0964601561427116
iteration 15 err=0.0985262170433998
iteration 16 err=0.175345286726952
iteration 17 err=0.0754033625125885
iteration 18 err=0.0373176820576191
iteration 19 err=0.0358343012630939
iteration 20 err=0.0285074822604656
Processing LSCG: 1155.002 ms
RESULT LSCG IMAGE=mouse RADIUS=48 PSNR=17.302250 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_48.png
Processing LSCG roi_radius=64
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.65893554688
iteration 3 err=191.171234130859
iteration 4 err=53.2239799499512
iteration 5 err=9.53464317321777
iteration 6 err=3.79732227325439
iteration 7 err=1.81023931503296
iteration 8 err=1.55441081523895
iteration 9 err=1.29825532436371
iteration 10 err=1.09857571125031
iteration 11 err=0.377869576215744
iteration 12 err=0.244836568832397
iteration 13 err=0.168452009558678
iteration 14 err=0.0963842645287514
iteration 15 err=0.0857338681817055
iteration 16 err=0.068302184343338
iteration 17 err=0.197894141077995
iteration 18 err=0.0407280661165714
iteration 19 err=0.0358447320759296
iteration 20 err=0.0285094659775496
Processing LSCG: 1140.002 ms
RESULT LSCG IMAGE=mouse RADIUS=64 PSNR=20.797502 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_64.png
Processing LSCG roi_radius=80
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65966796875
iteration 3 err=191.171340942383
iteration 4 err=53.2240257263184
iteration 5 err=9.53465557098389
iteration 6 err=3.79768061637878
iteration 7 err=1.8445508480072
iteration 8 err=2.68959379196167
iteration 9 err=1.46360492706299
iteration 10 err=0.788848578929901
iteration 11 err=0.376262038946152
iteration 12 err=0.244827419519424
iteration 13 err=0.168451905250549
iteration 14 err=0.0964174717664719
iteration 15 err=0.0914455056190491
iteration 16 err=0.168222218751907
iteration 17 err=0.0816899761557579
iteration 18 err=0.0373332872986794
iteration 19 err=0.0358361713588238
iteration 20 err=0.0285715460777283
Processing LSCG: 1145.002 ms
RESULT LSCG IMAGE=mouse RADIUS=80 PSNR=24.354764 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_80.png
Processing LSCG roi_radius=96
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.4375
iteration 2 err=1898.658203125
iteration 3 err=191.17121887207
iteration 4 err=53.224006652832
iteration 5 err=9.53464698791504
iteration 6 err=3.79766464233398
iteration 7 err=1.84370899200439
iteration 8 err=2.66959691047668
iteration 9 err=1.46885240077972
iteration 10 err=0.789206981658936
iteration 11 err=0.376263499259949
iteration 12 err=0.244827806949615
iteration 13 err=0.168452188372612
iteration 14 err=0.0963966250419617
iteration 15 err=0.0878435075283051
iteration 16 err=0.129979521036148
iteration 17 err=0.0992484167218208
iteration 18 err=0.0373810343444347
iteration 19 err=0.0358341224491596
iteration 20 err=0.0284984260797501
Processing LSCG: 1145.002 ms
RESULT LSCG IMAGE=mouse RADIUS=96 PSNR=28.139887 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_96.png
Processing LSCG roi_radius=128
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.453125
iteration 2 err=1898.65844726563
iteration 3 err=191.171127319336
iteration 4 err=53.223934173584
iteration 5 err=9.53462791442871
iteration 6 err=3.79730987548828
iteration 7 err=1.80993902683258
iteration 8 err=1.54111921787262
iteration 9 err=1.21726012229919
iteration 10 err=1.16752600669861
iteration 11 err=0.378310471773148
iteration 12 err=0.244838401675224
iteration 13 err=0.168451637029648
iteration 14 err=0.0963838025927544
iteration 15 err=0.085692323744297
iteration 16 err=0.0665275603532791
iteration 17 err=0.0759861990809441
iteration 18 err=0.0620944835245609
iteration 19 err=0.0359437242150307
iteration 20 err=0.0293767470866442
Processing LSCG: 1145.002 ms
RESULT LSCG IMAGE=mouse RADIUS=128 PSNR=31.452654 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_128.png
Processing LSCG roi_radius=140
numangles=1024, dimx=592
Ground-truth reconstruction...
iteration 1 err=141220.421875
iteration 2 err=1898.65795898438
iteration 3 err=191.171127319336
iteration 4 err=53.2239532470703
iteration 5 err=9.53464603424072
iteration 6 err=3.79767560958862
iteration 7 err=1.84480082988739
iteration 8 err=2.69566249847412
iteration 9 err=1.4620167016983
iteration 10 err=0.788739740848541
iteration 11 err=0.376260578632355
iteration 12 err=0.24482686817646
iteration 13 err=0.168451964855194
iteration 14 err=0.0964276492595673
iteration 15 err=0.0931430980563164
iteration 16 err=0.174108877778053
iteration 17 err=0.079126350581646
iteration 18 err=0.0373273864388466
iteration 19 err=0.0358504951000214
iteration 20 err=0.0290051754564047
Processing LSCG: 1140.002 ms
RESULT LSCG IMAGE=mouse RADIUS=140 PSNR=32.162899 TIME=0.100000 FILE=LSCG/recon_LSCG_mouse_140.png
Processing LSCG roi_radius=12
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18505859375
iteration 3 err=1209.9619140625
iteration 4 err=269.338012695313
iteration 5 err=98.2791137695313
iteration 6 err=22.0612945556641
iteration 7 err=9.79463768005371
iteration 8 err=7.46824407577515
iteration 9 err=9.22392177581787
iteration 10 err=4.08766555786133
iteration 11 err=2.32112765312195
iteration 12 err=1.24724078178406
iteration 13 err=0.792618572711945
iteration 14 err=0.466951549053192
iteration 15 err=0.39236506819725
iteration 16 err=0.82305371761322
iteration 17 err=0.600008010864258
iteration 18 err=0.426677107810974
iteration 19 err=0.224493399262428
iteration 20 err=0.212777614593506
Processing LSCG: 690.0009 ms
RESULT LSCG IMAGE=abdomen RADIUS=12 PSNR=8.587569 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_12.png
Processing LSCG roi_radius=16
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18310546875
iteration 3 err=1209.9619140625
iteration 4 err=269.338104248047
iteration 5 err=98.279167175293
iteration 6 err=22.0616893768311
iteration 7 err=9.82115745544434
iteration 8 err=8.85074234008789
iteration 9 err=9.99316787719727
iteration 10 err=3.65550637245178
iteration 11 err=2.31791043281555
iteration 12 err=1.24721193313599
iteration 13 err=0.792600870132446
iteration 14 err=0.466661542654037
iteration 15 err=0.437184393405914
iteration 16 err=1.0479861497879
iteration 17 err=0.308854073286057
iteration 18 err=0.286638975143433
iteration 19 err=0.34153825044632
iteration 20 err=0.245019316673279
Processing LSCG: 695.0009 ms
RESULT LSCG IMAGE=abdomen RADIUS=16 PSNR=10.712035 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_16.png
Processing LSCG roi_radius=24
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.185546875
iteration 3 err=1209.96264648438
iteration 4 err=269.338256835938
iteration 5 err=98.2792205810547
iteration 6 err=22.0613117218018
iteration 7 err=9.79443454742432
iteration 8 err=7.45692253112793
iteration 9 err=9.17522430419922
iteration 10 err=4.1004433631897
iteration 11 err=2.32122945785522
iteration 12 err=1.24724173545837
iteration 13 err=0.792600274085999
iteration 14 err=0.46633580327034
iteration 15 err=0.365160316228867
iteration 16 err=0.571646511554718
iteration 17 err=0.494437575340271
iteration 18 err=0.25621023774147
iteration 19 err=0.21156257390976
iteration 20 err=0.172663658857346
Processing LSCG: 700.001 ms
RESULT LSCG IMAGE=abdomen RADIUS=24 PSNR=14.435064 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_24.png
Processing LSCG roi_radius=32
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.185546875
iteration 3 err=1209.96215820313
iteration 4 err=269.338012695313
iteration 5 err=98.2791442871094
iteration 6 err=22.0612964630127
iteration 7 err=9.79463672637939
iteration 8 err=7.46823501586914
iteration 9 err=9.22390079498291
iteration 10 err=4.08767223358154
iteration 11 err=2.32112789154053
iteration 12 err=1.24723958969116
iteration 13 err=0.792607009410858
iteration 14 err=0.466601639986038
iteration 15 err=0.379748195409775
iteration 16 err=0.9128178358078
iteration 17 err=0.472462475299835
iteration 18 err=0.48824405670166
iteration 19 err=0.230316251516342
iteration 20 err=0.213137581944466
Processing LSCG: 695.001 ms
RESULT LSCG IMAGE=abdomen RADIUS=32 PSNR=17.121250 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_32.png
Processing LSCG roi_radius=48
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385053.96875
iteration 2 err=7922.1845703125
iteration 3 err=1209.96228027344
iteration 4 err=269.338012695313
iteration 5 err=98.2791595458984
iteration 6 err=22.0614681243896
iteration 7 err=9.80652809143066
iteration 8 err=8.10516834259033
iteration 9 err=10.2575464248657
iteration 10 err=3.76305341720581
iteration 11 err=2.31869077682495
iteration 12 err=1.24722194671631
iteration 13 err=0.792607307434082
iteration 14 err=0.466610372066498
iteration 15 err=0.399284422397614
iteration 16 err=1.21373987197876
iteration 17 err=0.370617061853409
iteration 18 err=0.502460896968842
iteration 19 err=0.23651497066021
iteration 20 err=0.213547930121422
Processing LSCG: 700.001 ms
RESULT LSCG IMAGE=abdomen RADIUS=48 PSNR=21.263670 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_48.png
Processing LSCG roi_radius=64
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.1845703125
iteration 3 err=1209.96215820313
iteration 4 err=269.338043212891
iteration 5 err=98.2791519165039
iteration 6 err=22.0612945556641
iteration 7 err=9.79446697235107
iteration 8 err=7.458984375
iteration 9 err=9.18422698974609
iteration 10 err=4.09807252883911
iteration 11 err=2.32120895385742
iteration 12 err=1.24724090099335
iteration 13 err=0.792613446712494
iteration 14 err=0.466813087463379
iteration 15 err=0.390155345201492
iteration 16 err=0.957675516605377
iteration 17 err=0.518014192581177
iteration 18 err=0.441496580839157
iteration 19 err=0.225879356265068
iteration 20 err=0.212864309549332
Processing LSCG: 690.001 ms
RESULT LSCG IMAGE=abdomen RADIUS=64 PSNR=24.806814 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_64.png
Processing LSCG roi_radius=80
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18505859375
iteration 3 err=1209.96215820313
iteration 4 err=269.338104248047
iteration 5 err=98.2791748046875
iteration 6 err=22.061315536499
iteration 7 err=9.79508209228516
iteration 8 err=7.49222040176392
iteration 9 err=9.32125091552734
iteration 10 err=4.06230545043945
iteration 11 err=2.3209331035614
iteration 12 err=1.24723947048187
iteration 13 err=0.79261189699173
iteration 14 err=0.466770440340042
iteration 15 err=0.393438696861267
iteration 16 err=1.08192300796509
iteration 17 err=0.467238694429398
iteration 18 err=0.451010972261429
iteration 19 err=0.226873993873596
iteration 20 err=0.212926492094994
Processing LSCG: 765.0011 ms
RESULT LSCG IMAGE=abdomen RADIUS=80 PSNR=28.160901 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_80.png
Processing LSCG roi_radius=96
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.18408203125
iteration 3 err=1209.96215820313
iteration 4 err=269.337951660156
iteration 5 err=98.2791137695313
iteration 6 err=22.0614528656006
iteration 7 err=9.80581092834473
iteration 8 err=8.06763458251953
iteration 9 err=10.2498073577881
iteration 10 err=3.77215814590454
iteration 11 err=2.31875061988831
iteration 12 err=1.24721872806549
iteration 13 err=0.792612314224243
iteration 14 err=0.466974854469299
iteration 15 err=0.42764887213707
iteration 16 err=1.085493683815
iteration 17 err=0.445927917957306
iteration 18 err=0.434288829565048
iteration 19 err=0.225931107997894
iteration 20 err=0.212869077920914
Processing LSCG: 690.001 ms
RESULT LSCG IMAGE=abdomen RADIUS=96 PSNR=30.397895 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_96.png
Processing LSCG roi_radius=128
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054
iteration 2 err=7922.1845703125
iteration 3 err=1209.96215820313
iteration 4 err=269.338043212891
iteration 5 err=98.2791748046875
iteration 6 err=22.0614757537842
iteration 7 err=9.80618095397949
iteration 8 err=8.0867805480957
iteration 9 err=10.254204750061
iteration 10 err=3.76744198799133
iteration 11 err=2.31871938705444
iteration 12 err=1.24721968173981
iteration 13 err=0.792603075504303
iteration 14 err=0.466680586338043
iteration 15 err=0.433220267295837
iteration 16 err=1.06843400001526
iteration 17 err=0.325299322605133
iteration 18 err=0.456378996372223
iteration 19 err=0.26423043012619
iteration 20 err=0.215660527348518
Processing LSCG: 745.001 ms
RESULT LSCG IMAGE=abdomen RADIUS=128 PSNR=33.088931 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_128.png
Processing LSCG roi_radius=140
numangles=640, dimx=592
Ground-truth reconstruction...
iteration 1 err=385054.03125
iteration 2 err=7922.18505859375
iteration 3 err=1209.96215820313
iteration 4 err=269.337982177734
iteration 5 err=98.2790985107422
iteration 6 err=22.0614356994629
iteration 7 err=9.8053560256958
iteration 8 err=8.04404163360596
iteration 9 err=10.2430667877197
iteration 10 err=3.77819919586182
iteration 11 err=2.31879258155823
iteration 12 err=1.24721801280975
iteration 13 err=0.792602479457855
iteration 14 err=0.466553062200546
iteration 15 err=0.393628358840942
iteration 16 err=1.22960674762726
iteration 17 err=0.361342430114746
iteration 18 err=0.503671526908875
iteration 19 err=0.241221755743027
iteration 20 err=0.213866859674454
Processing LSCG: 695.001 ms
RESULT LSCG IMAGE=abdomen RADIUS=140 PSNR=34.515748 TIME=0.100000 FILE=LSCG/recon_LSCG_abdomen_140.png