Orthogonal WT (7-9 filters) + univeral thresholding and residual image
Undecimated WT (7-9 filters) + ksigma thresholding and residual image
Wavelet-domain Hidden Markov Models and residual image
Multiscale entropy and residual image
Ridgelet transform and residual image
Curvelet transform and residual image
Combined filtering and residual image
Standard Lena image, and image + Gaussian noise (sigma=20).
Orthogonal WT (7-9 filters) + universal thresholding and residual image
Undecimated WT (7-9 filters) + ksigma thresholding and residual image.
Wavelet-domain Hidden Markov Models and residual image. See
M. S. Crouse, R. D. Nowak, and R. G. Baraniuk, Wavelet-Based Signal Processing Using Hidden Markov Models, IEEE Transactions on Signal Processing (Special Issue on Wavelets and Filterbanks), April 1998.
Multiscale entropy filtering and residual image. See
J.L. Starck, and F. Murtagh, "Multiscale Entropy Filtering", Signal Processing, Vol 76, No 2, pp 147-165, 1999.
Ridgelet transform (Block size = 32) and residual image.
Curvelet transform and residual image.
The filtered image has been obtained by using an iterative technique and several transforms: the curvelet, the ridgelet, and the undecimated wavelet transform. Only a combination of methods allows us to clean properly the residual.