P. Charbonnier, L. Blanc-féraud, G. Aubert, and M. Barlaud, Deterministic edge-preserving regularization in computed imaging, IEEE Transactions on Image Processing, vol.6, issue.2, pp.298-311, 1997.
DOI : 10.1109/83.551699

P. J. Huber, Robust Statistics, 1981.

H. Zou and T. Hastie, Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.5, issue.2, pp.301-320, 2005.
DOI : 10.1073/pnas.201162998

A. H. Delaney and Y. Bresler, Globally convergent edge-preserving regularized reconstruction: an application to limited-angle tomography, IEEE Transactions on Image Processing, vol.7, issue.2, pp.204-221, 1998.
DOI : 10.1109/83.660997

O. Veksler, Graph Cut Based Optimization for MRFs with Truncated Convex Priors, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.17-22, 2007.
DOI : 10.1109/CVPR.2007.383249

Y. Zhang and N. Kingsbury, Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization, 2010 IEEE International Conference on Image Processing, pp.1685-1688, 2010.
DOI : 10.1109/ICIP.2010.5653189

W. W. Hager and H. Zhang, A survey of nonlinear conjugate gradient methods, Pacific J. Optim, vol.2, issue.1, pp.35-58, 2006.

A. Miele and J. W. Cantrell, Study on a memory gradient method for the minimization of functions, Journal of Optimization Theory and Applications, vol.3, issue.6, pp.459-470, 1969.
DOI : 10.1007/BF00929359

E. Chouzenoux, J. Idier, and S. Moussaoui, A Majorize–Minimize Strategy for Subspace Optimization Applied to Image Restoration, IEEE Transactions on Image Processing, vol.20, issue.6, 2010.
DOI : 10.1109/TIP.2010.2103083

M. Zibulevsky and M. Elad, L1-L2 Optimization in Signal and Image Processing, IEEE Signal Processing Magazine, vol.27, issue.3, pp.76-88, 2010.
DOI : 10.1109/MSP.2010.936023

URL : https://hal.archives-ouvertes.fr/inria-00567455

M. Allain, J. Idier, and Y. Goussard, On global and local convergence of half-quadratic algorithms, IEEE Transactions on Image Processing, vol.15, issue.5, pp.1130-1142, 2006.
DOI : 10.1109/TIP.2005.864173

URL : https://hal.archives-ouvertes.fr/hal-00400663

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

A. Beck and M. Teboulle, Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems, IEEE Transactions on Image Processing, vol.18, issue.11, pp.2419-2434, 2009.
DOI : 10.1109/TIP.2009.2028250

V. Kolmogorov, Convergent Tree-Reweighted Message Passing for Energy Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.1568-1583, 2006.
DOI : 10.1109/TPAMI.2006.200

P. Felzenszwalb and D. Huttenlocher, Efficient belief propagation for early vision, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.41-54, 2006.
DOI : 10.1109/CVPR.2004.1315041