F. Benvenuto, A. L. Camera, C. Theys, A. Ferrari, H. Lantéri et al., The study of an iterative method for the reconstruction of images corrupted by Poisson and Gaussian noise, Inverse Problems, vol.24, issue.3, 2008.

D. L. Snyder, A. M. Hammoud, and R. L. White, Image recovery from data acquired with a charge-coupled-device camera, Journal of the Optical Society of America A, vol.10, issue.5, pp.1014-1023, 1993.
DOI : 10.1364/JOSAA.10.001014

T. E. Nichols, J. Qi, E. Asma, and R. M. Leahy, Spatiotemporal reconstruction of list-mode PET data, IEEE Transactions on Medical Imaging, vol.21, issue.4, pp.396-404, 2002.
DOI : 10.1109/TMI.2002.1000263

S. Delpretti, F. Luisier, S. Ramani, T. Blu, and M. Unser, Multiframe sure-let denoising of timelapse fluorescence microscopy images, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.149-152, 2008.
DOI : 10.1109/ISBI.2008.4540954

F. Luisier, T. Blu, and M. Unser, Image Denoising in Mixed Poisson–Gaussian Noise, IEEE Transactions on Image Processing, vol.20, issue.3, pp.696-708, 2011.
DOI : 10.1109/TIP.2010.2073477

G. Boracchi and A. Foi, Multiframe raw-data denoising based on block-matching and 3-D filtering for low-light imaging and stabilization, The 2008 International Workshop on Local and Non-Local Approximation in Image Processing, 2008.

B. Begovic, V. Stankovic, and L. Stankovic, Contrast enhancement and denoising of Poisson and Gaussian mixture noise for solar images, 2011 18th IEEE International Conference on Image Processing, pp.185-188, 2011.
DOI : 10.1109/ICIP.2011.6115829

E. Gil-rodrigo, J. Portilla, D. Miraut, and R. Suarez-mesa, Efficient joint Poisson-Gauss restoration using multi-frame ?2-relaxed-?0 analysis-based sparsity, IEEE International Conference on Image Processing (ICIP), pp.1385-1388, 2011.

F. Murtagh, J. Starck, and A. Bijaoui, Image restoration with noise suppression using a multiresolution support, Astronomy and Astrophysics Supplement, vol.112, pp.179-189, 1995.

A. Foi, Clipped noisy images: Heteroskedastic modeling and practical denoising, Signal Processing, vol.89, issue.12, pp.2609-2629, 2009.
DOI : 10.1016/j.sigpro.2009.04.035

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 and Variational Analysis, pp.1-24, 2011.

H. Raguet, J. Fadili, and G. Peyré, A Generalized Forward-Backward Splitting, SIAM Journal on Imaging Sciences, vol.6, issue.3, 2011.
DOI : 10.1137/120872802

URL : https://hal.archives-ouvertes.fr/hal-00613637

G. Demoment, Image reconstruction and restoration: overview of common estimation structures and problems, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.12, pp.2024-2036, 1989.
DOI : 10.1109/29.45551

Y. C. Eldar, P. Kuppinger, and H. Bolcskei, Block-Sparse Signals: Uncertainty Relations and Efficient Recovery, IEEE Transactions on Signal Processing, vol.58, issue.6, pp.3042-3054, 2010.
DOI : 10.1109/TSP.2010.2044837

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

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

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.

P. L. Combettes and J. Pesquet, A proximal decomposition method for solving convex variational inverse problems, Inverse Problems, vol.24, issue.6, 2008.
DOI : 10.1088/0266-5611/24/6/065014

URL : https://hal.archives-ouvertes.fr/hal-00692901

L. M. Arias and P. L. Combettes, A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality, SIAM Journal on Optimization, vol.21, issue.4, pp.1230-1250, 2011.
DOI : 10.1137/10081602X

URL : https://hal.archives-ouvertes.fr/hal-00643797

F. Dupe, 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

URL : https://hal.archives-ouvertes.fr/hal-00264972