. Various, Image data compression -ccsds 122.0-b-1 The Consultative Committee for Space Data Systems, Tech. Rep, 2005.

A. Cohen, I. Daubechies, and J. Feauveau, Biorthogonal bases of compactly supported wavelets, Communications on pure and applied mathematics, pp.485-560, 1992.
DOI : 10.1002/cpa.3160450502

S. Durand and J. Froment, Reconstruction of Wavelet Coefficients Using Total Variation Minimization, SIAM Journal on Scientific Computing, vol.24, issue.5, pp.1754-1767, 2003.
DOI : 10.1137/S1064827501397792

URL : https://hal.archives-ouvertes.fr/hal-00204982

P. Weiss, L. Blanc-feraud, T. Andre, and M. Antonini, Compression artifacts reduction using variational methods : Algorithms and experimental study, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1173-1176, 2008.
DOI : 10.1109/ICASSP.2008.4517824

M. Carlavan, Optimization of the compression/restoration chain for satellite images, 2013.
URL : https://hal.archives-ouvertes.fr/tel-00847182

J. Delon and B. Rougé, Small Baseline Stereovision, Journal of Mathematical Imaging and Vision, vol.26, issue.3, pp.209-223, 2007.
DOI : 10.1007/s10851-007-0001-1

L. Igual, J. Preciozzi, A. Garrido, V. Almansa, B. Caselles et al., Automatic low baseline stereo in urban areas, Inverse Problems and Imaging, vol.1, issue.2, pp.319-348, 2007.

M. Lebrun, A. Buades, and J. Morel, A Nonlocal Bayesian Image Denoising Algorithm, SIAM Journal on Imaging Sciences, vol.6, issue.3, pp.1665-1688, 2013.
DOI : 10.1137/120874989

G. Yu, G. Sapiro, and S. Mallat, Solving inverse problems with piecewise linear estimators: From gaussian mixture models to structured sparsity, Image Processing IEEE Transactions on, vol.21, issue.5, pp.2481-2499, 2012.

F. Alter, S. Durand, and J. Froment, Adapted Total Variation for Artifact Free Decompression of JPEG Images, Journal of Mathematical Imaging and Vision, vol.25, issue.9, pp.199-211, 2005.
DOI : 10.1007/s10851-005-6467-9

URL : https://hal.archives-ouvertes.fr/hal-00712138

S. Durand and M. Nikolova, Denoising of Frame Coefficients Using $\ell^1$ Data-Fidelity Term and Edge-Preserving Regularization, Multiscale Modeling & Simulation, vol.6, issue.2, pp.547-576, 2007.
DOI : 10.1137/06065828X

J. Preciozzi, Two Restoration Problems In Satellite Imaging, 2016.

J. Akhtar, Optimization of biorthogonal wavelet filters for signal and image compression, 2001.

A. Zymnis, S. Boyd, and E. Candès, Compressed sensing with quantized measurements PEWA: patch-based exponentially weighted aggregation for image denoising, NIPS, pp.149-152, 2010.

M. Lebrun, M. Colom, and J. M. , The noise clinic: A universal blind denoising algorithm, 2014 IEEE International Conference on Image Processing (ICIP), pp.2674-2678, 2014.
DOI : 10.1109/ICIP.2014.7025541

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing, vol.13, issue.4, pp.600-612, 2004.
DOI : 10.1109/TIP.2003.819861

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.2477