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, 2005.
DOI : 10.1137/040616024

URL : https://hal.archives-ouvertes.fr/hal-00271141

V. Katkovnik, A. Foi, K. Egiazarian, and J. Astola, From local kernel to non-local multiple model image denoising, 2009.

R. M. Willett and R. D. Nowak, Platelets: a multiscale approach for recovering edges and surfaces in photon-limited medical imaging, IEEE Transactions on Medical Imaging, vol.22, issue.3, pp.332-350, 2003.
DOI : 10.1109/TMI.2003.809622

F. J. Anscombe, THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA, Biometrika, vol.35, issue.3-4, pp.246-254, 1948.
DOI : 10.1093/biomet/35.3-4.246

J. Starck, F. Murtagh, and A. Bijaoui, Image Processing and Data Analysis, the Multiscale Approach, 1998.

A. Foi, M. Trimeche, V. Katkovnik, and K. Egiazarian, Practical Poissonian-Gaussian noise modeling and fitting for singleimage raw-data, IEEE Trans. on IP, 2008.
DOI : 10.1109/tip.2008.2001399

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.164.1943

P. Fryzlewicz and G. P. Nason, A Haar-Fisz Algorithm for Poisson Intensity Estimation, Journal of Computational and Graphical Statistics, vol.13, issue.3, pp.621-638, 2004.
DOI : 10.1198/106186004X2697

M. Jansen, Multiscale Poisson data smoothing, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.171, issue.1, pp.27-48, 2006.
DOI : 10.1109/18.761328

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.5127

J. Lee, Speckle analysis and smoothing of synthetic aperture radar images, Computer Graphics and Image Processing, vol.17, issue.1, pp.24-32, 1981.
DOI : 10.1016/S0146-664X(81)80005-6

D. T. Kuan, A. A. Sawchuk, T. V. Strand, and P. Chavel, Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.7, issue.2, pp.165-177, 1985.
DOI : 10.1109/TPAMI.1985.4767641

C. L. Chan, A. K. Katsagellos, and A. V. Sahakian, Image sequence filtering in quantum-limited noise with applications to low-dose fluoroscopy, IEEE Transactions on Medical Imaging, vol.12, issue.3, pp.610-621, 1993.
DOI : 10.1109/42.241890

B. Zhang, M. Fadili, and J. Starck, Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal, IEEE Transactions on Image Processing, vol.17, issue.7, pp.1093-1108, 2008.
DOI : 10.1109/TIP.2008.924386

URL : https://hal.archives-ouvertes.fr/hal-00259509

A. Santamaria-pang, T. Bildea, S. Tan, and I. Kakadiaris, Denoising for 3-D Photon-Limited Imaging Data Using Nonseparable Filterbanks, IEEE Transactions on Image Processing, vol.17, issue.12, pp.2312-2323, 2008.
DOI : 10.1109/TIP.2008.2003393

J. C. Brailean, R. P. Kleihorst, S. Efstratiadis, A. K. Katsaggelos, and R. L. Lagendijk, Noise reduction filters for dynamic image sequences: a review, Proc. of the IEEE, pp.1272-1291, 1995.
DOI : 10.1109/5.406412

R. Dugad and N. Ahuja, Video denoising by combining Kalman and Wiener estimates, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), pp.152-156, 1999.
DOI : 10.1109/ICIP.1999.819568

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.390.936

H. Cheong, A. Tourapis, J. Llach, and J. Boyce, Adaptive spatio-temporal filtering for video-denoising, Proc. of ICIP, pp.965-968, 2004.

V. Zlokolica and W. Philips, Motion- and detail-adaptive denoising of video, Image Processing: Algorithms and Systems III, pp.403-412, 2004.
DOI : 10.1117/12.520847

A. Kuznetsov, V. P. Bindokas, J. D. Marks, and L. H. Philipson, FRET-based voltage probes for confocal imaging: membrane potential oscillations throughout pancreatic islets, AJP: Cell Physiology, vol.289, issue.1, pp.224-229, 2005.
DOI : 10.1152/ajpcell.00004.2005

N. Rajpoot, Z. Yao, and R. Wilson, Adaptive wavelet restoration of noisy video sequences, 2004 International Conference on Image Processing, 2004. ICIP '04., pp.957-960, 2004.
DOI : 10.1109/ICIP.2004.1419459

F. Shi and I. W. Selesnick, Video denoising using oriented complex wavelet transforms, Proc. of the IEEE ICASSP'04, pp.949-952, 2004.

F. Dekeyser, P. Bouthemy, and P. Pérez, Spatio-temporal Wiener filtering of image sequences using a parametric motion model, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), pp.208-211, 2000.
DOI : 10.1109/ICIP.2000.900931

S. H. Lee and M. G. Kang, Spatio-temporal video filtering algorithm based on 3-D anisotropic diffusion equation, Proc. of ICIP'1998, pp.447-450, 1998.

D. Uttenweiler, C. Weber, B. Jähne, R. Fink, and H. Scharr, Spatiotemporal anisotropic diffusion filtering to improve signal-to-noise ratios and object restoration in fluorescence microscopic image sequences, Journal of Biomedical Optics, vol.8, issue.1, pp.40-47, 2003.
DOI : 10.1117/1.1527627

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

G. Motta, E. Ordentlich, I. Ramirez, G. Seroussi, and M. Weinberger, The DUDE framework for continuous tone image denoising, IEEE International Conference on Image Processing 2005, pp.345-348, 2005.
DOI : 10.1109/ICIP.2005.1530399

S. Awate and R. Whitacker, Unsupervised, information-theoretic, adaptive image filtering for image restoration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.3, pp.364-376, 2006.
DOI : 10.1109/TPAMI.2006.64

A. Buades, B. Coll, and J. Morel, Nonlocal Image and Movie Denoising, International Journal of Computer Vision, vol.14, issue.1, pp.123-139, 2008.
DOI : 10.1007/s11263-007-0052-1

URL : https://hal.archives-ouvertes.fr/hal-00271147

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. Criminisi, P. Pérez, and K. Toyama, Region Filling and Object Removal by Exemplar-Based Image Inpainting, IEEE Transactions on Image Processing, vol.13, issue.9, pp.1200-1212, 2004.
DOI : 10.1109/TIP.2004.833105

Y. Wexler, E. Shechtman, and M. Irani, Space-time video completion, Proc. of IEEE CVPR'2004, pp.120-127, 2004.

M. Mahmoudi and G. Sapiro, Fast image and video denoising via nonlocal means of similar neighborhoods, IEEE Signal Processing Letters, vol.12, issue.12, pp.839-842, 2005.
DOI : 10.1109/LSP.2005.859509

D. Rusanovskyy, K. Dabov, and K. Egiazarian, Movingwindow varying size 3D transform-based video denoising, Proc. of 2nd International Workshop on Video Processing and Quality Metrics for Consumer Electronics, VPQM'06, 2006.

M. Elad and M. Aharon, Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries, IEEE Transactions on Image Processing, vol.15, issue.12, pp.3736-3745, 2006.
DOI : 10.1109/TIP.2006.881969

J. Mairal, G. Sapiro, and M. Elad, Learning Multiscale Sparse Representations for Image and Video Restoration, Multiscale Modeling & Simulation, vol.7, issue.1, pp.214-241, 2008.
DOI : 10.1137/070697653

M. Aharon, M. Elad, and A. Bruckstein, <tex>$rm K$</tex>-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation, IEEE Transactions on Signal Processing, vol.54, issue.11, pp.4311-4322, 2006.
DOI : 10.1109/TSP.2006.881199

J. Boulanger, C. Kervrann, and P. Bouthemy, Space-Time Adaptation for Patch-Based Image Sequence Restoration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.6, pp.1096-1102, 2007.
DOI : 10.1109/TPAMI.2007.1064

URL : https://hal.archives-ouvertes.fr/inria-00071294

J. Boulanger, J. Sibarita, C. Kervrann, and P. Bouthemy, Non-parametric regression for patch-based fluorescence microscopy image sequence denoising, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008.
DOI : 10.1109/ISBI.2008.4541104

URL : https://hal.archives-ouvertes.fr/inria-00322321

L. D. Brown, R. Zhang, and L. H. Zhao, Root-unroot methods for nonparametric density estimation and poisson randomeffects models, 2001.

F. Murtagh, J. Starck, and A. Bijaoui, Image restoration with noise suppression using a multiresolution support, Astronomy and Astrophysics, vol.112, pp.197-189, 1995.

B. Zhang, J. Fadili, J. Starck, and J. Olivo-marin, Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging, 2007 IEEE International Conference on Image Processing, 2007.
DOI : 10.1109/ICIP.2007.4379564

J. Starck and F. Murtagh, Automatic Noise Estimation from the Multiresolution Support, Publications of the Astronomical Society of the Pacific, pp.193-199, 1998.
DOI : 10.1086/316124

J. Boulanger, C. Kervrann, and P. Bouthemy, Biophotonics for Life Sciences and Medicine. Fontis Media SA An adaptive statistical method for 4D- fluorescence image sequence denoising with spatio-temporal discontinuities preserving, pp.97-113, 2006.

S. Ramani, C. Vonesch, and M. Unser, Deconvolution of 3D micrographes with automatic risk minimization, Proc. of IEEE ISBI, pp.732-735, 2008.

T. Gasser, L. Sroka, and C. Jennen-steinmetz, Residual variance and residual pattern in nonlinear regression, Biometrika, vol.73, issue.3, pp.625-633, 1986.
DOI : 10.1093/biomet/73.3.625

P. Rousseeuw and A. Leroy, Robust Regression and Outlier Detection, 1987.
DOI : 10.1002/0471725382

D. B. Murphy, Fundamentals of light microscopy and electronic imaging, 2001.
DOI : 10.1002/9781118382905

M. Newberry, Signal-to-noise considerations for skysubtracted ccd data, Publications of the Astronomical Society of the Pacific, pp.122-130, 1991.

S. Kindermann, S. Osher, and P. Jones, Deblurring and Denoising of Images by Nonlocal Functionals, Multiscale Modeling & Simulation, vol.4, issue.4, pp.1091-1115, 2005.
DOI : 10.1137/050622249

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

N. Azzabou, N. Paragios, and F. Guichard, Variable Bandwidth Image Denoising Using Image-based Noise Models, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-7, 2007.
DOI : 10.1109/CVPR.2007.383216

G. Gilboa and S. Osher, Nonlocal Linear Image Regularization and Supervised Segmentation, Multiscale Modeling & Simulation, vol.6, issue.2, pp.595-630, 2007.
DOI : 10.1137/060669358

D. Tschumperlé and L. Brun, Image denoising and registration by pde's on the space of patches, Int. Workshop on Local and Non-Local Approx. in Im. Proc. (LNLA'08), 2008.

L. Stankovic, Performance Analysis of the Adaptive Algorithm for Bias-to-Variance Tradeoff, IEEE Transactions on Signal Processing, vol.52, issue.5, pp.1228-1234, 2004.
DOI : 10.1109/TSP.2004.826179

O. Lepski, Asymptotically minimax adaptive estimation 1: upper bounds, Theory of Probability and Applications, pp.654-659, 1991.

D. Belomestny and V. Spokoiny, Spatial aggregation of local likelihood estimates with applications to classification, The Annals of Statistics, vol.35, issue.5, pp.2287-2311, 2007.
DOI : 10.1214/009053607000000271

C. Kervrann and J. Boulanger, Optimal Spatial Adaptation for Patch-Based Image Denoising, IEEE Transactions on Image Processing, vol.15, issue.10, pp.2866-2878, 2006.
DOI : 10.1109/TIP.2006.877529

K. Dabov, V. Foi, A. Katkovnik, and K. Egiazarian, Image denoising by sparse 3D transform-domain collaborative filtering, IEEE Trans. on IP, vol.16, issue.8, pp.2080-2095, 2007.

C. Kervrann, J. Boulanger, and P. Coupé, Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal, SSVM'07, 2007.
DOI : 10.1007/978-3-540-72823-8_45

URL : https://hal.archives-ouvertes.fr/hal-00645444

B. Zhang, M. Fadili, and J. Starck, Fast Poisson noise removal by biorthogonal Haar domain hypothesis testing, Statistical Methodology, vol.5, issue.4, pp.387-396, 2008.
DOI : 10.1016/j.stamet.2008.02.004

URL : https://hal.archives-ouvertes.fr/hal-00089890

L. Luisier, C. Vonesch, T. Blu, and M. Unser, Fast Haar-wavelet denoising of multidimensional fluorescence microscopy data, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008.
DOI : 10.1109/ISBI.2009.5193046

D. Agard, Optical Sectioning Microscopy: Cellular Architecture in Three Dimensions, Annual Review of Biophysics and Bioengineering, vol.13, issue.1, pp.191-219, 1984.
DOI : 10.1146/annurev.bb.13.060184.001203

J. Sibarita, Microscopy Techniques, ser, Advances in Biochemical Engineering/Biotechnology. Berlin

J. Sibarita, H. Magnin, and J. R. De-mey, Ultra-fast 4D microscopy and high throughput distributed deconvolution, Proceedings IEEE International Symposium on Biomedical Imaging, pp.769-772, 2002.
DOI : 10.1109/ISBI.2002.1029371