C. Aguerrebere, J. Delon, Y. Gousseau, and P. Musé, Study of the digital camera acquisition process and statistical modeling of the sensor raw data
URL : https://hal.archives-ouvertes.fr/hal-00733538

S. Awate and R. Whitaker, Unsupervised, information-theoretic, adaptive image filtering for image restoration. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.28, issue.3, pp.364-376, 2006.

T. Brox and D. Cremers, Iterated Nonlocal Means for Texture Restoration, Proceedings of the 1st international conference on Scale space and variational methods in computer vision, pp.13-24, 2007.
DOI : 10.1007/978-3-540-72823-8_2

T. Brox, O. Kleinschmidt, and D. Cremers, Efficient Nonlocal Means for Denoising of Textural Patterns, IEEE Transactions on Image Processing, vol.17, issue.7, pp.1083-1092, 2008.
DOI : 10.1109/TIP.2008.924281

A. Buades, B. Coll, and J. Morel, A Review of Image Denoising Algorithms, with a New One, Multiscale Modeling & Simulation, vol.4, issue.2, pp.490-530, 2006.
DOI : 10.1137/040616024
URL : https://hal.archives-ouvertes.fr/hal-00271141

J. Cai, R. Chan, and M. Nikolova, Two-phase approach for deblurring images corrupted by impulse plus Gaussian noise, Inverse Problems and Imaging, vol.2, issue.2, pp.187-204, 2008.

J. Cai, R. Chan, and M. Nikolova, Fast Two-Phase Image Deblurring Under Impulse Noise, Journal of Mathematical Imaging and Vision, vol.17, issue.1, pp.46-53, 2010.
DOI : 10.1007/s10851-009-0169-7

R. Chan, C. Hu, and M. Nikolova, An Iterative Procedure for Removing Random-Valued Impulse Noise, IEEE Signal Processing Letters, vol.11, issue.12, pp.11921-924, 2004.
DOI : 10.1109/LSP.2004.838190

P. Chatterjee and P. Milanfar, Clustering-Based Denoising With Locally Learned Dictionaries, IEEE Transactions on Image Processing, vol.18, issue.7, pp.1438-1451, 2009.
DOI : 10.1109/TIP.2009.2018575

P. Chatterjee and P. Milanfar, Is Denoising Dead?, IEEE Transactions on Image Processing, vol.19, issue.4, pp.895-911, 2010.
DOI : 10.1109/TIP.2009.2037087

T. Chen and H. Wu, Adaptive impulse detection using center-weighted median filters, IEEE Signal Processing Letters, vol.8, issue.1, pp.1-3, 2001.
DOI : 10.1109/97.889633

V. Crnojevic, V. Senk, and Z. Trpovski, Advanced Impulse Detection Based on Pixel-Wise MAD, IEEE Signal Processing Letters, vol.11, issue.7, pp.11589-592, 2004.
DOI : 10.1109/LSP.2004.830117

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, Image restoration by sparse 3D transform-domain collaborative filtering, Image Processing: Algorithms and Systems VI, pp.6812-6819, 2008.
DOI : 10.1117/12.766355

H. David and H. Nagaraja, Order statistics Wiley series in probability and mathematical statistics. Probability and mathematical statistics, 2003.

C. Deledalle, L. Denis, and F. Tupin, Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights, IEEE Transactions on Image Processing, vol.18, issue.12, pp.2661-2672, 2009.
DOI : 10.1109/TIP.2009.2029593
URL : https://hal.archives-ouvertes.fr/ujm-00431266

C. Deledalle, L. Denis, and F. Tupin, How to Compare Noisy Patches? Patch Similarity Beyond Gaussian Noise, International Journal of Computer Vision, vol.21, issue.11, pp.86-102, 2012.
DOI : 10.1007/s11263-012-0519-6
URL : https://hal.archives-ouvertes.fr/hal-00672357

C. Deledalle, V. Duval, and J. Salmon, Non-local Methods with Shape-Adaptive Patches (NLM-SAP), Journal of Mathematical Imaging and Vision, vol.13, issue.4, pp.1-18, 2011.
DOI : 10.1007/s10851-011-0294-y
URL : https://hal.archives-ouvertes.fr/hal-00536723

C. Deledalle, J. Salmon, and A. S. Dalalyan, Image denoising with patch based PCA: local versus global, Procedings of the British Machine Vision Conference 2011, 2011.
DOI : 10.5244/C.25.25
URL : https://hal.archives-ouvertes.fr/hal-00654289

J. Delon and A. Desolneux, Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction, SIAM Journal on Imaging Sciences, vol.3, issue.4, pp.703-734, 2010.
DOI : 10.1137/090766371
URL : https://hal.archives-ouvertes.fr/hal-00407796

J. Delon and A. Desolneux, A patch-based approach for random-valued impulse noise removal, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), p.2012
DOI : 10.1109/ICASSP.2012.6288077

Y. Dong, R. Chan, and S. Xu, A Detection Statistic for Random-Valued Impulse Noise, IEEE Transactions on Image Processing, vol.16, issue.4, pp.1112-1120, 2007.
DOI : 10.1109/TIP.2006.891348

V. Duval, J. Aujol, and Y. Gousseau, A Bias-Variance Approach for the Nonlocal Means, SIAM Journal on Imaging Sciences, vol.4, issue.2, pp.760-788, 2011.
DOI : 10.1137/100790902
URL : https://hal.archives-ouvertes.fr/hal-00947885

A. Efros and T. Leung, Texture synthesis by non-parametric sampling, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1033-1038, 1999.
DOI : 10.1109/ICCV.1999.790383

A. Foi, M. Trimeche, V. Katkovnik, and K. Egiazarian, Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data, IEEE Transactions on Image Processing, vol.17, issue.10, pp.1737-1754, 2008.
DOI : 10.1109/TIP.2008.2001399

R. Garnett, T. Huegerich, C. Chui, and W. He, A universal noise removal algorithm with an impulse detector, IEEE Transactions on Image Processing, vol.14, issue.11, pp.1747-1754, 2005.
DOI : 10.1109/TIP.2005.857261

O. Ghita and P. F. Whelan, A new GVF-based image enhancement formulation for use in the presence of mixed noise, Pattern Recognition, vol.43, issue.8, pp.2646-2658, 2010.
DOI : 10.1016/j.patcog.2010.02.023

B. Goossens, Q. Luong, A. Pizurica, and W. Philips, An improved non-local denoising algorithm, Local and Non-Local Approximation in Image Processing, International Workshop, Proceedings, p.143, 2008.

Y. Huang, M. Ng, and Y. Wen, Fast Image Restoration Methods for Impulse and Gaussian Noises Removal, IEEE Signal Processing Letters, vol.16, issue.6, pp.457-460, 2009.
DOI : 10.1109/LSP.2009.2016835

C. Kervrann and J. Boulanger, Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation, International Journal of Computer Vision, vol.27, issue.2, pp.45-69, 2008.
DOI : 10.1007/s11263-007-0096-2

S. J. Ko and Y. H. Lee, Center weighted median filters and their applications to image enhancement, IEEE Transactions on Circuits and Systems, vol.38, issue.9, pp.984-993, 1991.
DOI : 10.1109/31.83870

A. Levin and B. Nadler, Natural image denoising: Optimality and inherent bounds, CVPR 2011, pp.2833-2840, 2011.
DOI : 10.1109/CVPR.2011.5995309

B. Li, Q. Liu, J. Xu, and X. Luo, A new method for removing mixed noises, Science China Information Sciences, vol.24, issue.10, pp.51-59, 2011.
DOI : 10.1007/s11432-010-4128-0

Y. Li, L. Shen, D. Dai, and B. W. Suter, Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise, IEEE Transactions on Image Processing, vol.20, issue.7, pp.1822-1837, 2011.
DOI : 10.1109/TIP.2010.2103950

E. López-rubio, Restoration of images corrupted by Gaussian and uniform impulsive noise, Pattern Recognition, vol.43, issue.5, pp.1835-1846, 2010.
DOI : 10.1016/j.patcog.2009.11.017

C. Louchet and L. Moisan, Total Variation as a Local Filter, SIAM Journal on Imaging Sciences, vol.4, issue.2, pp.651-694, 2011.
DOI : 10.1137/100785855
URL : https://hal.archives-ouvertes.fr/hal-00457763

W. K. Pratt, Median filtering, Image Proc. Inst., Univ. Southern California, 1975.

J. Salmon and Y. Strozecki, Patch reprojections for Non-Local methods, Signal Processing, vol.92, issue.2, pp.447-489, 2012.
DOI : 10.1016/j.sigpro.2011.08.011

T. Sun and Y. Neuvo, Detail-preserving median based filters in image processing, Pattern Recognition Letters, vol.15, issue.4, pp.341-347, 1994.
DOI : 10.1016/0167-8655(94)90082-5

D. Van-de-ville and M. Kocher, SURE-Based Non-Local Means, IEEE Signal Processing Letters, vol.16, issue.11, pp.973-976, 2009.
DOI : 10.1109/LSP.2009.2027669

Z. Wang, A. Bovik, H. Sheikh, and E. 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

Y. Xiao, T. Zeng, J. Yu, and M. K. Ng, Restoration of images corrupted by mixed Gaussian-impulse noise via l1???l0 minimization, Pattern Recognition, vol.44, issue.8, pp.441708-1720, 2011.
DOI : 10.1016/j.patcog.2011.02.002

J. X. Yang and H. R. Wu, Mixed Gaussian and uniform impulse noise analysis using robust estimation for digital images, Proceedings of the 16th international conference on Digital Signal Processing, DSP'09, pp.468-472, 2009.