A. Cohen, I. Daubechies, and J. C. Feauveau, Biorthogonal bases of compactly supported wavelets, Communications on Pure and Applied Mathematics, vol.10, issue.5, pp.485-560, 1992.
DOI : 10.1002/cpa.3160450502

D. L. Collins, A. P. Zijdenbos, V. Kollokian, J. G. Sled, N. J. Kabani et al., Design and construction of a realistic digital brain phantom, IEEE Transactions on Medical Imaging, vol.17, issue.3, pp.463-468, 1998.
DOI : 10.1109/42.712135

D. Donoho and I. Johnstone, Ideal spatial adaptation by wavelet shrinkage, Biometrika, vol.81, issue.3, pp.425-455, 1994.
DOI : 10.1093/biomet/81.3.425

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5288

S. Geman and D. Geman, Stochastic relaxation, gibbs distributions, and the bayesian restoration of images, IEEE PAMI, pp.721-741, 1984.

G. Georgiou, S. Cohen, C. Piccoli, F. Forsberg, and B. Goldberg, Tissue characterization using the continuous wavelet transform. I. Decomposition method, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.48, issue.2, pp.355-363, 2001.
DOI : 10.1109/58.911718

M. Green, Statistics of images,the TV algorithm of Rudin-Osher-Fatemi, Institute for pure and applied mathematics, 2002.

S. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.7, pp.674-693, 1989.
DOI : 10.1109/34.192463

. Pizurica, Image denoising using wavelets and spatial context modeling, 2002.

L. Rudin, S. Osher, and E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.259-268, 1992.
DOI : 10.1016/0167-2789(92)90242-F

J. L. Starck, Multiresolution Support Applied to Image Filtering and Restoration, Graphical Models and Image Processing, vol.57, issue.5, pp.420-431, 1995.
DOI : 10.1006/gmip.1995.1036

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.1676

G. Winkler, Image analysis, random fields and dynamic Monte Carlo methods, 1995.
DOI : 10.1007/978-3-642-97522-6