M. Z. Brown, D. Burschka, and G. D. Hager, Advances in computational stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.8, pp.993-1008, 2003.
DOI : 10.1109/TPAMI.2003.1217603

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.411

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

Y. Wu, L. Chen, P. Lee, T. Yeh, and J. Hsieh, Discrete signal matching using coarse-to-fine wavelet basis functions, Pattern Recognition, vol.36, issue.1, pp.171-192, 2003.
DOI : 10.1016/S0031-3203(02)00024-9

H. Liu and P. Bhattacharya, Uncalibrated stereo matching using DWT, Proc. Int. Conf. Pattern Recognition, pp.114-118, 2000.

Y. S. Kim, J. J. Lee, and Y. H. Ha, Stereo matching algorithm based on modified wavelet decomposition process, Pattern Recognition, vol.30, issue.6, pp.929-952, 1997.
DOI : 10.1016/S0031-3203(96)00125-2

P. L. Combettes and J. C. Pesquet, WAVELET-CONSTRAINED IMAGE RESTORATION, International Journal of Wavelets, Multiresolution and Information Processing, vol.02, issue.04, pp.371-389, 2004.
DOI : 10.1142/S0219691304000688

URL : https://hal.archives-ouvertes.fr/hal-00017834

P. L. Combettes and J. C. Pesquet, Image Restoration Subject to a Total Variation Constraint, IEEE Transactions on Image Processing, vol.13, issue.9, pp.1213-1222, 2004.
DOI : 10.1109/TIP.2004.832922

URL : https://hal.archives-ouvertes.fr/hal-00017934

H. Choi and R. Baraniuk, Multiple basis wavelet denoising using Besov projections, Proc. IEEE Int. Conf. Image Proc, pp.595-599, 1999.

K. P. Horn and G. Schunck, Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981.
DOI : 10.1016/0004-3702(81)90024-2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1651

J. Pesquet, H. Krim, and H. Carfantan, Time-invariant orthonormal wavelet representations, IEEE Transactions on Signal Processing, vol.44, issue.8, pp.1964-1970, 1996.
DOI : 10.1109/78.533717

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.2234

J. Weickert, A. Bruhn, N. Papenberg, and T. Brox, Variational Optic Flow Computation: From Continuous Models to Algorithms, Int. Workshop on Computer Vision and Image Analysis, 2003.

. Segm+glob and . Vis, Bottom Center) 2-pass DP [17]. (Bottom Right) Patch-Based [18]. ity map estimation respecting image discontinuities: A PDE and scale-space based approach, Journal of Visual Communication and Image Representation, vol.16, issue.13, pp.3-21, 2002.

P. L. Combettes, A block-iterative surrogate constraint splitting method for quadratic signal recovery, IEEE Transactions on Signal Processing, vol.51, issue.7, pp.1771-1782, 1997.
DOI : 10.1109/TSP.2003.812846

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

H. H. Nagel and W. Enkelmann, An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.8, issue.5, pp.565-593, 1986.
DOI : 10.1109/TPAMI.1986.4767833

M. Bleyer and M. Gelautz, A layered stereo algorithm using image segmentation and global visibility constraints, Int. Conf. on Image Proc, pp.2997-3000, 2004.

C. Kim, K. M. Lee, B. T. Choi, and S. U. Lee, A dense stereo matching using two-pass dynamic programming with generalized ground control points, Computer Vision and Pattern Recognition, vol.2, pp.1075-1082, 2005.

Y. Deng, Q. Yang, X. Lin, and X. Tang, A symmetric patchbased correspondence model for occlusion handling, Int. Conf on Computer Vision, pp.1316-1322, 2005.