A. Pizurica: research interests

Image and video restoration

Restoration of still images

• Bayesian wavelet domain estimation of the signal of interest in the presence of noise

• Suppression of correlated noise

• Image restoration using realistic capture models

• Non-local denoising

• Sparsity priors for image restoration

• Restoration of hyperspectral images

Noise reduction in video sequences

• Combining optimally spatial and temporal information fo video denoising

• Time recursive versus 3D video denoisers

• Video denoising based on learned spatio temporal atoms

• Denoising 3D video sequences

Selected related publications

• A. Pizurica, W. Philips, I. Lemahieu and M. Acheroy, "Despeckling SAR Images Using Wavelets and a New Class of Adaptive Shrinkage Estimators," Proc. IEEE International Conf. on Image Processing ICIP, Thessaloniki, Greece, Oct. 2001.

• A. Pizurica, Image Denoising Using Wavelets and Spatial Context Modeling, PhD thesis, Ghent University, June 2002.

• A. Pizurica, W. Philips, I. Lemahieu and M. Acheroy, "A Joint Inter- and Intrascale Statistical Model for Bayesian Wavelet Based Image Denoising," IEEE Transactions on Image Processing, vol. 11, no. 5, pp. 545--557, May 2002.

• A. Pizurica, W. Philips, I. Lemahieu and M. Acheroy, "A Versatile Wavelet Domain Noise Filtration Technique for Medical Imaging", IEEE Transactions on Medical Imaging, vol. 22, no. 3, pp. 323--331, March 2003.

• A. Pizurica, V. Zlokolica and W. Philips, "Combined wavelet domain and temporal video denoising," in Proc. IEEE Internat. Conf. on Advanced Video and Signal Based Surveillance (AVSS), pp. 334--341, Miami, FL, 21-22 July 2003.

• A. Pizurica, A. M. Wink, E. Vansteenkiste, W. Philips and J.B.T.M. Roerdink "A review of wavelet denoising in MRI and ultrasound brain imaging", Current Medical Imaging Reviews, vol. 2, no. 2, 247-260, 2006.

• A. Pizurica and W. Philips, "Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising", IEEE Transactions on Image Processing, vol. 15, no. 3, pp. 654-665, March 2006.

• V. Zlokolica, A. Pizurica, W. Philips, "Wavelet-domain video denoising based on reliability measures", IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, no. 8, pp. 993-1007, 2006.

• S. De Backer, A. Pizurica, B. Huysmans, W. Philips and P. Scheunders, Denoising of Multicomponent Images Using Wavelet Least-Squares Estimators, Image and Vision Computing, Vol. 26, No. 7, pp. 1038-1051, 2008.

• A. Pizurica, LJ. Jovanov, B. Huysmans, V.Zlokolica, P. De Keyser, F. Dhaenens and W. Philips, "Multiresolution Denoising for Optical Coherence Tomography: A Review and Evaluation", Current Medical Imaging Reviews, vol. 4, no. 2, pp. 270-284, 2008.

• L. Tessens, A. Pizurica, A. Alecu, A. Munteanu and W. Philips, “Context adaptive image denoising based on joint image statistics in the curvelet domain,” Journal of Electronic imaging, vol. 17, no. 3, Sep. 2008. DOI:10.1117/1.2987723.

• B. Goossens, H. Luong, A. Pižurica and W. Philips, "An improved non-local denoising algorithm", in Proc. Int'l Workshop on Local and Non-Local Approximation in Image Processing, LNLA2008, 2008, Aug 23-24, Lausanne, Switzerland (invited paper; 14 pages).

• LJ. Jovanov, A. Pizurica, S. Schulte, P. Schelkens, A. Munteanu, E. Kerre and W. Philips, "Combined wavelet-domain and motion-compensated video denoising based on video codec motion estimation methods", IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 3, pp. 417-421, March 2009.

• B. Goossens, A. Pizurica and W. Philips, "Image Denoising Using Mixtures of Projected Gaussian Scale Mixtures", IEEE Transactions on Image Processing, vol. 18, no. 8, pp. 1689-1702, Aug 2009.

• B. Goossens, A. Pizurica and W. Philips, "Removal of Correlated Noise by Modeling the Signal of Interest in the Wavelet Domain", IEEE Transactions on Image Processing, vol 18, no. 6, pp. 1153-1165, June 2009.

• LJ. Jovanov, A. Pižurica, and W. Philips, "Fuzzy logic-based approach to wavelet denoising of 3D images produced by time-of-flight cameras" Optics Express, vol. 18, pp. 22651-22676, 2010.

• H. Luong, T. Ružic, A. Pižurica and W. Philips, "Single-Image Super-Resolution Using Sparsity Constraints and Non-Local Similarities at Multiple Resolution Scales", in Proc. SPIE Optics, Photonics, and Digital Technologies for Multimedia Applications, P. Schelkens, T. Ebrahimi, G. Cristobal, F. Truchetet, and P. Saarikko (Eds.) 2010, vol. 7723, pp. 772305-1-772305-7.

• Lj. Jovanov, A. Pižurica, W. Philips, "Denoising Algorithm for the 3D Depth Map Sequences Based on Multihypothesis Motion Estimation", EURASIP Journal on Advances in Signal Processing, Vol. 2011:131, DOI:10.1186/1687-6180-2011-131 , 17 pages, 2011.

• J. Aelterman, B. Goossens, H. Luong, J. De Vylder, A. Pižurica, W. Philips, "Combined Non-Local and Multi-Resolution Sparsity Prior in Image Restoration", In Proc. of the IEEE International Conference on Image Processing (ICIP), 2012, Sep. 30 - Oct. 3, Orlando, Florida, USA.

• H. Luong, B. Goossens, J. Aelterman, A. Pižurica, and W. Philips, "A Primal-Dual Algorithm for Joint Demosaicking and Deconvolution," In Proc. of the IEEE International Conference on Image Processing (ICIP) 2012, Sep. 30 - Oct. 3, Orlando, Florida, USA.

• B. Goossens, H. Q. Luong, J. Aelterman, A. Pižurica and W. Philips, "Realistic Camera Noise Modeling with Application to Improved HDR Synthesis," EURASIP Journal on Advances in Signal Processing, in press.