D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), pp.7-42, 2002.
DOI : 10.1109/SMBV.2001.988771

G. Medioni and R. Nevatia, Segment-based stereo matching, Computer Vision, Graphics, and Image Processing, vol.31, issue.1, pp.2-18, 1985.
DOI : 10.1016/S0734-189X(85)80073-6

O. Veksler, Stereo Correspondence by Dynamic Programming on a Tree, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.384-390, 2005.
DOI : 10.1109/CVPR.2005.334

V. Kolmogorov and R. Zabih, Computing visual correspondence with occlusions using graph cuts, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.508-515, 2001.
DOI : 10.1109/ICCV.2001.937668

W. Miled, J. Pesquet, and M. Parent, A Convex Optimization Approach for Depth Estimation Under Illumination Variation, IEEE Transactions on Image Processing, vol.18, issue.4, pp.813-830, 2009.
DOI : 10.1109/TIP.2008.2011386
URL : https://hal.archives-ouvertes.fr/hal-00692900

P. L. Combettes, The foundations of set theoretic estimation, Proceedings of the IEEE, vol.81, issue.2, pp.182-208, 1993.
DOI : 10.1109/5.214546

P. L. Combettes and J. Pesquet, Proximal splitting methods in signal processing, " in Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2010.

D. C. Youla and H. Webb, Image Restoration by the Method of Convex Projections: Part 1ߞTheory, IEEE Transactions on Medical Imaging, vol.1, issue.2, pp.81-94, 1982.
DOI : 10.1109/TMI.1982.4307555

J. J. Moreau, Fonctions convexes duales et points proximaux dans un espace hilbertien, C. R. Acad. Sci, vol.255, pp.2897-2899, 1962.

P. L. Combettes and J. Pesquet, A proximal decomposition method for solving convex variational inverse problems, Inverse Problems, vol.24, issue.6, p.27, 2008.
DOI : 10.1088/0266-5611/24/6/065014
URL : https://hal.archives-ouvertes.fr/hal-00692901

N. Pustelnik, C. Chaux, and J. Pesquet, Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization, IEEE Transactions on Image Processing, vol.20, issue.9, 2011.
DOI : 10.1109/TIP.2011.2128335
URL : https://hal.archives-ouvertes.fr/hal-00826121

D. Han and D. R. Larson, Frames, bases and group representations, Mem. Amer, p.94, 2000.
DOI : 10.1090/memo/0697

S. Mallat, A wavelet tour of signal processing, 1997.

J. Pesquet and N. Pustelnik, A parallel inertial proximal optimization method, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00790702

C. Chaux, P. L. Combettes, J. Pesquet, and V. R. Wajs, A variational formulation for frame-based inverse problems, Inverse Problems, vol.23, issue.4, pp.1495-1518, 2007.
DOI : 10.1088/0266-5611/23/4/008
URL : https://hal.archives-ouvertes.fr/hal-00621883

E. Van-den, M. P. Berg, and . Friedlander, Probing the Pareto Frontier for Basis Pursuit Solutions, SIAM Journal on Scientific Computing, vol.31, issue.2, pp.890-912, 2008.
DOI : 10.1137/080714488

M. Gheche, J. Pesquet, J. Farah, M. Kaaniche, and B. Pesquet-popescu, Proximal splitting methods for depth estimation, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011.
DOI : 10.1109/ICASSP.2011.5946538
URL : https://hal.archives-ouvertes.fr/hal-00733840