| autocor_to_covmtx | Conversion from a spatial autocorrelation function to spatial covariance matrix
with a local window of the specified size
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| bkf_prior | Calculates the probability density function for the hidden multiplier of
Bessel K Form prior for a Gaussian Scale Mixture
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| compute_autocor | Parallel computation of a spatial autocorrelation function
i.e. assuming spatial stationarity
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| compute_covmtx | Parallel computation of a spatial covariance matrix
without assuming spatial stationarity
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| compute_covmtx_spat_stationary | Computation of the covariance matrix under the assumption of spatial stationarity
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| correct_eigenvalues | Make: sure the eigenvalues of the symmetric matrix are positive. All
negative eigenvalues are replaced by a small positive constant
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| denoise_band_blsgsm | Denoising of a wavelet subband using the BLS-GSM method
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| denoise_band_vectorprobshrink | Denoising of a wavelet subband using the vector-Probshrink method.
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| denoise_image_blsgsm | Denoises an image using the method of BLS-GSM. Both grayscale and RGB color images are
supported.
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| denoise_image_vectorprobshrink | Denoises an image using the vector Probshrink method. Both grayscale and RGB color images are
supported.
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| denoise_subband_bayesshrink | Denoising of a subband using Bayesshrink. This method is just an
educational example of how wavelet soft thresholding may work. Note
that this estimator is actually the MAP estimator for a wavelet subband,
assuming Laplacian distributed noise-free wavelet coefficients with
additive stationary Gaussian noise.
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| jeffreys_prior | Calculates the probability density function for the hidden multiplier of
Jeffrey's non-informative prior for a Gaussian Scale Mixture
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| symsqrt_and_inv | Computation of the symmetric square root of a matrix and its inverse
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