G. Gilboa and S. Osher, Nonlocal Operators with Applications to Image Processing, Multiscale Modeling & Simulation, vol.7, issue.3, pp.1005-1028, 2008.
DOI : 10.1137/070698592

M. Werlberger, T. Pock, and H. Bischof, Motion estimation with non-local total variation regularization, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2464-2471, 2010.
DOI : 10.1109/CVPR.2010.5539945
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.171.388

G. Peyré, A Review of Adaptive Image Representations, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.5, pp.896-911, 2011.
DOI : 10.1109/JSTSP.2011.2120592

G. Chierchia, N. Pustelnik, J. Pesquet, and B. Pesquet-popescu, Epigraphical projection and proximal tools for solving constrained convex optimization problems, Signal, Image and Video Processing, vol.18, issue.4, 2012.
DOI : 10.1007/s11760-014-0664-1
URL : https://hal.archives-ouvertes.fr/hal-00744603

C. Couprie, L. Grady, L. Najman, J. Pesquet, and H. Talbot, Dual Constrained TV-based Regularization on Graphs, SIAM Journal on Imaging Sciences, vol.6, issue.3, pp.1-27, 2013.
DOI : 10.1137/120895068
URL : https://hal.archives-ouvertes.fr/hal-00743968

A. Buades, B. Coll, and J. Morel, A Non-Local Algorithm for Image Denoising, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.60-65, 2005.
DOI : 10.1109/CVPR.2005.38

W. Richardson, Bayesian-Based Iterative Method of Image Restoration*, Journal of the Optical Society of America, vol.62, issue.1, pp.55-59, 1972.
DOI : 10.1364/JOSA.62.000055

T. Teuber, G. Steidl, and R. H. Chan, -divergence constraints, Inverse Problems, vol.29, issue.3, 2012.
DOI : 10.1088/0266-5611/29/3/035007
URL : https://hal.archives-ouvertes.fr/hal-00929638

S. Kullback and R. A. Leibler, On Information and Sufficiency, The Annals of Mathematical Statistics, vol.22, issue.1, pp.79-86, 1951.
DOI : 10.1214/aoms/1177729694

H. Jeffreys, An Invariant Form for the Prior Probability in Estimation Problems, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.186, issue.1007, pp.453-461, 1946.
DOI : 10.1098/rspa.1946.0056

E. Hellinger, Neue begründung der theorie quadratischer formen von unendlichvielen veränderlichen, Journal für die reine und angewandte Mathematik, pp.210-271, 1909.

R. E. Blahut, Computation of channel capacity and rate-distortion functions, IEEE Transactions on Information Theory, vol.18, issue.4, pp.460-473, 1972.
DOI : 10.1109/TIT.1972.1054855

S. Arimoto, An algorithm for computing the capacity of arbitrary discrete memoryless channels, IEEE Transactions on Information Theory, vol.18, issue.1, pp.14-20, 1972.
DOI : 10.1109/TIT.1972.1054753

F. Dupé, J. M. Fadili, and J. Starck, A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations, IEEE Transactions on Image Processing, vol.18, issue.2, pp.310-321, 2009.
DOI : 10.1109/TIP.2008.2008223

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, pp.2450-2462, 2011.
DOI : 10.1109/TIP.2011.2128335
URL : https://hal.archives-ouvertes.fr/hal-00826121

J. A. Fessler, Hybrid Poisson/polynomial objective functions for tomographic image reconstruction from transmission scans, IEEE Transactions on Image Processing, vol.4, issue.10, pp.1439-1450, 1995.
DOI : 10.1109/83.465108

W. Hung and M. Yang, On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition, Information Sciences, vol.178, issue.6, pp.1641-1650, 2008.
DOI : 10.1016/j.ins.2007.11.006

A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh, Clustering with Bregman Divergences, J. Mach. Learn. Res, vol.6, pp.1705-1749, 2005.
DOI : 10.1137/1.9781611972740.22

S. Joshi and M. I. Miller, Maximum a posteriori estimation with Good???s roughness for three-dimensional optical-sectioning microscopy, Journal of the Optical Society of America A, vol.10, issue.5, pp.1078-1085, 1993.
DOI : 10.1364/JOSAA.10.001078

J. A. Sullivan, Roughness penalties on finite domains, IEEE Transactions on Image Processing, vol.4, issue.9, pp.1258-1268, 1995.
DOI : 10.1109/83.413170

P. L. Combettes and J. Pesquet, Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum type monotone operators Set-Valued Var, Anal, vol.20, issue.2, pp.307-330, 2012.

S. Boyd and L. Vandenberghe, Convex Optimization, 2004.

I. Csiszár, Information-type measures of difference of probability distributions and indirect observations, Studia Sci. Math. Hungar, vol.2, pp.299-318, 1967.

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, 2011.

P. L. Combettes and J. Pesquet, Proximal Thresholding Algorithm for Minimization over Orthonormal Bases, SIAM Journal on Optimization, vol.18, issue.4, pp.1351-1376, 2007.
DOI : 10.1137/060669498
URL : https://hal.archives-ouvertes.fr/hal-00621819

J. Pesquet and M. El-gheche, Proximity operators of some discrete information divergences, Tech. Rep, 2012.

P. L. Combettes and H. J. , The use of noise properties in set theoretic estimation, IEEE Transactions on Signal Processing, vol.39, issue.7, pp.1630-1641, 1991.
DOI : 10.1109/78.134400

X. Bresson, A short note for nonlocal TV minimization, 2009.

W. S. Malpica and A. C. Bovik, Range image quality assessment by structural similarity, Proc. Int. Conf. Acoust., Speech Signal Process, pp.19-24, 2009.
DOI : 10.1109/icassp.2009.4959792
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.2977