J. Chenot, J. O. Drewery, and D. Lyon, Restoration of archived television programmes for digital broadcasting, Tech. Rep, p.5, 1998.

V. Naranjo and A. , Flicker reduction in old films, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), pp.10-13, 2000.
DOI : 10.1109/ICIP.2000.899794

A. Pizurica, V. Zlokolica, and P. Wilfried, Noise reduction in video sequences using wavelet-domain and temporal filtering, Wavelet Applications in Industrial Processing, pp.27-30, 2004.
DOI : 10.1117/12.516069

A. C. Kokaram and S. J. , MCMC for joint noise reduction and missing data treatment in degraded video, IEEE Transactions on Signal Processing, vol.50, issue.2, pp.189-205, 2002.
DOI : 10.1109/78.978375

A. C. Kokaram, Motion Picture Restoration: Digital Algorithms for Artefact Suppression in Degraded Motion Picture Film and Video, 1998.
DOI : 10.1007/978-1-4471-3485-5

Y. Tendero and S. Osher, Blind uniform motion blur deconvolution for image bursts and video sequences based on sensor characteristics, Tech. Rep, 2014.

M. S. Almeida, A. Abelha, and A. B. Almeida, Multi-resolution approach for blind deblurring of natural images, 19th IEEE Int. Conf. on Image Processing, pp.3041-3044, 2012.

E. Thiébaut, Optimization issues in blind deconvolution algorithms, Astronomical Data Analysis II, pp.27-28, 2002.
DOI : 10.1117/12.461151

J. Bolte, P. L. Combettes, and J. Pesquet, Alternating proximal algorithm for blind image recovery, 2010 IEEE International Conference on Image Processing, pp.26-29, 2010.
DOI : 10.1109/ICIP.2010.5652173
URL : https://hal.archives-ouvertes.fr/hal-00844115

N. Komodakis and N. Paragios, MRF-Based Blind Image Deconvolution, 11th Asian Conference on Computer Vision (ACCV 2013), pp.5-9, 2013.
DOI : 10.1007/978-3-642-37431-9_28
URL : https://hal.archives-ouvertes.fr/hal-00856285

A. Levin, Y. Weiss, F. Durand, and W. T. Freeman, Understanding and evaluating blind deconvolution algorithms, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.20-25, 2009.
DOI : 10.1109/CVPR.2009.5206815

D. Krishnan, T. Tay, and R. Fergus, Blind deconvolution using a normalized sparsity measure, CVPR 2011, pp.20-25, 2011.
DOI : 10.1109/CVPR.2011.5995521

F. Soulez, E. Thiébaut, Y. Tourneur, A. Gressard, and R. Dauphin, Blind deconvolution of video sequences, 2008 15th IEEE International Conference on Image Processing, pp.12-15, 2008.
DOI : 10.1109/ICIP.2008.4711844
URL : https://hal.archives-ouvertes.fr/ujm-00293656

F. Sroubek, J. Flusser, and M. Sorel, Superresolution and blind deconvolution of video, 2008 19th International Conference on Pattern Recognition, pp.8-11, 2008.
DOI : 10.1109/ICPR.2008.4760989

F. Sroubek and P. Milanfar, Robust Multichannel Blind Deconvolution via Fast Alternating Minimization, IEEE Transactions on Image Processing, vol.21, issue.4, pp.1687-1700, 2012.
DOI : 10.1109/TIP.2011.2175740

L. I. 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

C. Liu, W. T. Freeman, E. H. Adelson, and Y. Weiss, Human-assisted motion annotation, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.23-28, 2008.
DOI : 10.1109/CVPR.2008.4587845
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.8667

P. L. Combettes and J. Pesquet, Proximal splitting methods in signal processing, " in Fixed-Point Algorithms for Inverse Problems in Science and Engineering, pp.185-212, 2010.

N. Parikh and S. Boyd, Proximal Algorithms, Foundations and Trends?? in Optimization, vol.1, issue.3, pp.123-231, 2013.
DOI : 10.1561/2400000003

P. Tseng, Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization, Journal of Optimization Theory and Applications, vol.109, issue.3, pp.475-494, 2001.
DOI : 10.1023/A:1017501703105

H. Attouch, J. Bolte, and B. F. Svaiter, Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward???backward splitting, and regularized Gauss???Seidel methods, Mathematical Programming, vol.31, issue.1, pp.91-129, 2011.
DOI : 10.1007/s10107-011-0484-9
URL : https://hal.archives-ouvertes.fr/inria-00636457

Y. Xu and W. Yin, A block coordinate descent method for regularized multi-convex optimization with applications to nonnegative tensor factorization and completion, Tech. Rep, 2012.

Z. Q. Luo and P. Tseng, On the convergence of the coordinate descent method for convex differentiable minimization, Journal of Optimization Theory and Applications, vol.34, issue.B, pp.7-35, 1992.
DOI : 10.1007/BF00939948

H. Attouch, J. Bolte, P. Redont, and A. Soubeyran, Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-??ojasiewicz Inequality, Mathematics of Operations Research, vol.35, issue.2, pp.438-457, 2010.
DOI : 10.1287/moor.1100.0449

J. Bolte, S. Sabach, and M. Teboulle, Proximal alternating linearized minimization for nonconvex and nonsmooth problems, Mathematical Programming, vol.4, issue.1-2, 2013.
DOI : 10.1007/s10107-013-0701-9
URL : https://hal.archives-ouvertes.fr/hal-00916090

E. Chouzenoux, J. Pesquet, and A. Repetti, A block coordinate variable metric forward???backward algorithm, Journal of Global Optimization, vol.6, issue.3, 2013.
DOI : 10.1007/s10898-016-0405-9
URL : https://hal.archives-ouvertes.fr/hal-00945918

P. L. Combettes, D. D?ungd?ung, and B. C. V?uv?u, Proximity for sums of composite functions, Journal of Mathematical Analysis and Applications, vol.380, issue.2, pp.680-688, 2011.
DOI : 10.1016/j.jmaa.2011.02.079
URL : https://hal.archives-ouvertes.fr/hal-00643804