]. A. Bibliographie-[-aa04a, M. Adamson, and . Alexa, Approximating bounded, nonorientable surfaces from points, Proceedings of Shape Modeling Applications, pp.243-252, 2004.

]. M. Aa04b, A. Alexa, and . Adamson, On normals and projection operators for surfaces defined by point sets, Symposium on Point-Based Graphics, pp.149-155, 2004.

[. Alexa and A. Adamson, Interpolatory point set surfaces???convexity and Hermite data, ACM Transactions on Graphics, vol.28, issue.2, p.20, 2009.
DOI : 10.1145/1516522.1516531

J. Abco-+-01-]-m.-alexa, D. Behr, S. Cohen-or, D. Fleishman, C. T. Levin et al., Point set surfaces, Proceedings of the Conference on Visualization, pp.21-28, 2001.

J. [. Adams, M. A. Baek, and . Davis, Fast High-Dimensional Filtering Using the Permutohedral Lattice, Computer Graphics Forum, vol.1, issue.2, pp.753-762, 2010.
DOI : 10.1109/CGI.2004.1309200

A. Adams, N. Gelfand, J. Dolson, and M. Levoy, Gaussian kd-trees for fast high-dimensional filtering, ACM Transactions on Graphics (TOG), vol.28, issue.3, p.21, 2009.
DOI : 10.1145/1576246.1531327
URL : http://www.cs.jhu.edu/~misha/ReadingSeminar/Papers/Adams09.pdf

Y. [. Amenta, Defining point-set surfaces, ACM Transactions on Graphics, vol.23, issue.3, pp.264-270, 2004.
DOI : 10.1145/1015706.1015713
URL : http://graphics.cs.ucdavis.edu/~yjkil/pub/defining/defining.pdf

A. K. Alexander, Multiscale methods in image modelling and image processing, 2005.

]. S. Amn-+-98, D. M. Arya, N. S. Mount, R. Netanyahu, A. Y. Silverman et al., An optimal algorithm for approximate nearest neighbor searching fixed dimensions, Journal of the ACM (JACM), issue.6, pp.45891-923, 1998.

N. [. Azzabou, F. Paragios, and . Guichard, Image Denoising Based on Adapted Dictionary Computation, 2007 IEEE International Conference on Image Processing, pp.109-112, 2007.
DOI : 10.1109/ICIP.2007.4379258

R. [. Awate and . Whitaker, Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.44-51, 2005.
DOI : 10.1109/CVPR.2005.176
URL : http://www.cs.utah.edu/projects/sci/publications/awate05/Awate_UINTA_CVPR.pdf

R. [. Awate and . Whitaker, 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

]. D. Bar02 and . Barash, Fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation, IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), vol.24, issue.6, pp.844-847, 2002.

]. T. Bbb-+-10, B. Beeler, P. Bickel, B. Beardsley, M. Sumner et al., High-quality single-shot capture of facial geometry, ACM Transactions on Graphics (TOG), issue.3, p.2940, 2010.

T. [. Bradley, W. Boubekeur, and . Heidrich, Accurate multi-view reconstruction using robust binocular stereo and surface meshing, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
DOI : 10.1109/CVPR.2008.4587792
URL : http://www.cs.ubc.ca/~heidrich/Papers/CVPR.08.pdf

D. [. Brox and . Cremers, Iterated Nonlocal Means for Texture Restoration, Scale Space and Variational Methods in Computer Vision, pp.13-24
DOI : 10.1007/978-3-540-72823-8_2

B. [. Buades, J. Coll, and . 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

B. [. Buades, J. Coll, and . Morel, Nonlocal Image and Movie Denoising, International Journal of Computer Vision, vol.14, issue.1, pp.123-139, 2008.
DOI : 10.1007/978-3-642-81929-2
URL : https://hal.archives-ouvertes.fr/hal-00271147

]. J. Ben75 and . Bentley, Multidimensional binary search trees used for associative searching, Communications of the ACM, vol.18, issue.9, pp.509-517, 1975.

]. T. Bhb-+-11, F. Beeler, D. Hahn, B. Bradley, P. Bickel et al., High-quality passive facial performance capture using anchor frames, ACM Transactions on Graphics, vol.30, p.75, 2011.

O. [. Brox, D. Kleinschmidt, and . 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

L. [. Bennett and . Mcmillan, Video enhancement using per-pixel virtual exposures, ACM Transactions on Graphics, vol.24, issue.3, pp.845-852, 2005.
DOI : 10.1145/1073204.1073272

[. Boissonnat and S. Oudot, Provably good sampling and meshing of surfaces, Graphical Models, vol.67, issue.5, pp.405-451, 2005.
DOI : 10.1016/j.gmod.2005.01.004
URL : https://hal.archives-ouvertes.fr/hal-00488829

]. A. Bov05 and . Bovik, Handbook of image and video processing, 2005.

S. [. Bae, F. Paris, and . Durand, Two-scale tone management for photographic look, ACM Transactions on Graphics, vol.25, issue.3, pp.637-645, 2006.
DOI : 10.1145/1141911.1141935
URL : http://graphics.csail.mit.edu/~sparis/publi/2006/siggraph/Bae_06_Two-Scale_hq.pdf

C. [. Bleyer, C. Rhemann, and . Rother, PatchMatch Stereo - Stereo Matching with Slanted Support Windows, Procedings of the British Machine Vision Conference 2011, pp.1-11, 2011.
DOI : 10.5244/C.25.14
URL : http://www.bmva.org/bmvc/2011/proceedings/paper14/paper14.pdf

E. [. Barnes, A. Shechtman, D. Finkelstein, and . Goldman, Patchmatch : a randomized correspondence algorithm for structural image editing, ACM Transactions on Graphics (TOG), vol.28, issue.3, p.24, 2009.
DOI : 10.1145/2018396.2018421
URL : http://www.connellybarnes.com/work/publications/2011_patchmatch_cacm.pdf

T. [. Chen, D. B. Funkhouser, E. Goldman, and . Shechtman, Non-parametric texture transfer using meshmatch, 2012.

P. [. Comaniciu and . Meer, Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, pp.603-619, 2002.
DOI : 10.1109/34.1000236

S. [. Chen, F. Paris, and . Durand, Real-time edge-aware image processing with the bilateral grid, ACM Transactions on Graphics, vol.26, issue.3, p.103, 2007.
DOI : 10.1145/1276377.1276506

P. [. Criminisi, K. Pérez, and . Toyama, Object removal by exemplar-based inpainting, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., p.721, 2003.
DOI : 10.1109/CVPR.2003.1211538
URL : http://research.microsoft.com/~antcrim/papers/Criminisi_cvpr2003.pdf

P. [. Criminisi, K. Pérez, and . 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. Cheng, B. Wang, K. Li, G. Xu, S. Dang et al., A survey of methods for moving least squares surfaces, Proceedings of conference on Point-Based Graphics, pp.9-23, 2008.

J. [. Duval, Y. Aujol, and . Gousseau, On the parameter choice for the non-local means, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00468856

]. J. Dal-+-11, N. Digne, C. Audfray, C. Lartigue, J. Mehdi-souzani et al., Farman Institute 3D Point Sets -High Precision 3D Data Sets, Image Processing On Line (IPOL), 2011.

J. [. Durand and . Dorsey, Fast bilateral filtering for the display of highdynamic-range images, ACM Transactions on Graphics (TOG), vol.21, issue.3, pp.257-266, 2002.

A. [. Delon and . Desolneux, A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise, SIAM Journal on Imaging Sciences, vol.6, issue.2, pp.1140-1174, 2013.
DOI : 10.1137/120885000
URL : https://hal.archives-ouvertes.fr/hal-00718612

[. 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.103-120, 2012.
DOI : 10.1007/978-3-642-81929-2
URL : https://hal.archives-ouvertes.fr/hal-00536723

[. 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

[. 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 : 10.1016/S0262-8856(03)00137-9
URL : https://hal.archives-ouvertes.fr/hal-00672357

A. [. Dabov, V. Foi, K. Katkovnik, and . Egiazarian, Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering, IEEE Transactions on Image Processing, vol.16, issue.8, pp.2080-2095, 2007.
DOI : 10.1109/TIP.2007.901238
URL : http://sp.cs.tut.fi/publications/archive/Dabov2007-Image.pdf

A. [. Dabov, V. Foi, K. Katkovnik, and . Egiazarian, Image restoration by sparse 3D transform-domain collaborative filtering, Image Processing: Algorithms and Systems VI, p.681207, 2008.
DOI : 10.1117/12.766355
URL : http://www.cs.tut.fi/~foi/GCF-BM3D/SPIE08_deblurring.pdf

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, BM3D Image Denoising with Shape-Adaptive Principal Component Analysis, Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2009.
URL : https://hal.archives-ouvertes.fr/inria-00369582

[. Deschaud and F. Goulette, Point cloud non local denoising using local surface descriptor similarity, IAPRS, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01259364

]. J. Dig12 and . Digne, Similarity based filtering of point clouds, Computer Vision and Pattern Recognition, p.2012

J. [. Digne and . Morel, Numerical analysis of differential operators on raw point clouds, Numerische Mathematik, vol.27, issue.3, pp.1-35, 2011.
DOI : 10.1109/TPAMI.2005.62
URL : https://hal.archives-ouvertes.fr/hal-01135993

J. Digne, J. Morel, C. Souzani, and C. Lartigue, Scale Space Meshing of Raw Data Point Sets, Computer Graphics Forum, vol.5, issue.9, pp.1630-1642, 2011.
DOI : 10.1145/1186562.1015816

]. D. Don95 and . Donoho, De-noising by soft-thresholding, IEEE Transactions on Information Theory, vol.41, issue.3, pp.613-627, 1995.

T. [. Efros and . 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

M. [. Fattal, S. Agrawala, and . Rusinkiewicz, Multiscale shape and detail enhancement from multi-light image collections, ACM Transactions on Graphics, vol.26, issue.3, p.51, 2007.
DOI : 10.1145/1276377.1276441
URL : http://www.cs.huji.ac.il/~raananf/projects/mlic/mlic.pdf

S. Fleishman, D. Cohen-or, and C. T. Silva, Robust moving least-squares fitting with sharp features, ACM Transactions on Graphics, vol.24, issue.3, pp.544-552, 2005.
DOI : 10.1145/1073204.1073227

I. [. Fleishman, D. Drori, and . Cohen-or, Bilateral mesh denoising, ACM Transactions on Graphics, vol.22, issue.3, pp.950-953, 2003.
DOI : 10.1145/882262.882368
URL : http://www.cs.tau.ac.il/~idrori/bmd.pdf

V. [. Foi, K. Katkovnik, J. Egiazarian, and . Astola, A novel anisotropic local polynomial estimator based on directional multiscale optimizations, International conference of IMA, pp.79-82, 2004.

Z. [. Fuchs, B. F. Kedem, and . Naylor, On visible surface generation by a priori tree structures, ACM SIGGRAPH Computer Graphics, vol.14, issue.3, pp.124-133, 1980.
DOI : 10.1145/965105.807481

M. [. Guennebaud and . Gross, Algebraic point set surfaces, ACM Transactions on Graphics, vol.26, issue.3, p.23, 2007.
DOI : 10.1145/1276377.1276406
URL : https://hal.archives-ouvertes.fr/inria-00354998

M. [. Guennebaud, M. H. Germann, and . Gross, Dynamic Sampling and Rendering of Algebraic Point Set Surfaces, Computer Graphics Forum, vol.27, issue.2, pp.653-662, 2008.
DOI : 10.1111/j.1467-8659.2008.01163.x
URL : https://hal.archives-ouvertes.fr/inria-00354995

Q. [. Goossens, A. Luong, W. Pizurica, and . Philips, An improved nonlocal denoising algorithm, International workshop on Local and Non-Local Approximation in Image Processing (LNLA), pp.143-156, 2008.

M. [. Gastal and . Oliveira, Domain transform for edge-aware image and video processing, ACM Transactions on Graphics (TOG), vol.30, issue.4, p.69, 2011.
DOI : 10.1145/2010324.1964964

M. [. Gastal and . Oliveira, Adaptive manifolds for real-time highdimensional filtering, ACM Transactions on Graphics (TOG), vol.31, issue.4, p.33, 2012.
DOI : 10.1145/2185520.2335384

T. H. Hoppe, T. Derose, J. Duchamp, W. Mcdonald, and . Stuetzle, Surface reconstruction from unorganized points, 1994.
DOI : 10.1145/142920.134011
URL : http://www.cs.cmu.edu/~seitz/course/SIGG99/papers/hoppe92.pdf

J. [. He and . Sun, Computing nearest-neighbor fields via propagation-assisted kd-trees, Computer Vision and Pattern Recognition (CVPR), pp.111-118, 2012.

J. [. He, X. Sun, and . Tang, Guided image filtering, European Conference on Computer Vision (ECCV), pp.1-14, 2010.

S. Izadi, D. Kim, O. Hilliges, D. Molyneaux, R. Newcombe et al., KinectFusion, Proceedings of the 24th annual ACM symposium on User interface software and technology, UIST '11, pp.559-568, 2011.
DOI : 10.1145/2047196.2047270

[. Ji, Q. Chen, Q. Sun, and D. Xia, A moment-based nonlocal-means algorithm for image denoising, Information Processing Letters, vol.109, issue.23-24, pp.1238-1244, 2009.
DOI : 10.1016/j.ipl.2009.09.007

F. [. Jones, M. Durand, and . Desbrun, Non-iterative, feature-preserving mesh smoothing, ACM Transactions on Graphics, vol.22, issue.3, pp.943-949, 2003.
DOI : 10.1145/882262.882367

F. [. Jones, M. Durand, and . Zwicker, Normal improvement for point rendering, IEEE Computer Graphics and Applications, vol.24, issue.4, pp.53-56, 2004.
DOI : 10.1109/MCG.2004.14

S. [. Korman and . Avidan, Coherency sensitive hashing, International Conference on Computer Vision (ICCV), pp.1607-1614, 2011.
DOI : 10.1109/tpami.2015.2477814

J. [. Kervrann and . 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
URL : http://www.irisa.fr/vista/Papers/2006_ip_kervrann.pdf

M. [. Kazhdan, H. Bolitho, and . Hoppe, Poisson surface reconstruction, Proceedings of Symposium on Geometry processing (SGP), 2006.

J. Kopf, M. F. Cohen, D. Lischinski, and M. Uyttendaele, Joint bilateral upsampling, ACM Transactions on Graphics, vol.26, issue.3, p.96, 2007.
DOI : 10.1145/1276377.1276497
URL : https://kops.uni-konstanz.de/bitstream/123456789/5563/1/Joint_Bilateral_Upsampling.pdf

K. [. Katkovnik, J. Egiazarian, and . Astola, Adaptive window size image de-noising based on intersection of confidence intervals (ICI) rule, Journal of Mathematical Imaging and Vision, vol.16, issue.3, pp.223-235, 2002.
DOI : 10.1023/A:1020329726980

V. Katkovnik, A. Foi, K. Egiazarian, and J. Astola, Directional varying scale approximations for anisotropic signal processing, Proceedings in European Signal Processing Conference (EUSIPCO), pp.101-104, 2004.

A. [. Lebrun, J. Buades, and . Morel, Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm, Image Processing On Line, vol.3, pp.1-42, 2013.
DOI : 10.5201/ipol.2013.16

H. [. Lorensen and . Cline, Marching cubes : A high resolution 3d surface construction algorithm, Proceedings of SIGGRAPH, pp.163-169, 1987.
DOI : 10.1145/37401.37422

M. Lebrun, M. Colom, A. Buades, and J. Morel, Secrets of image denoising cuisine, Acta Numerica, vol.21, issue.1, pp.475-576, 2012.
DOI : 10.1017/S0962492912000062

]. Lee83 and . Lee, Digital image smoothing and the sigma filter, Computer Vision, Graphics, and Image Processing, pp.255-269, 1983.

]. D. Lev98 and . Levin, The approximation power of moving least-squares, Mathematics of Computation, vol.67, pp.1517-1531, 1998.

]. D. Lev03 and . Levin, Mesh-independent surface interpolation Geometric Modeling for Scientifc Visualization, pp.1517-1523, 2003.

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

M. Levoy, K. Pulli, B. Curless, S. Rusinkiewicz, D. Koller et al., The digital Michelangelo project, Proceedings of the 27th annual conference on Computer graphics and interactive techniques , SIGGRAPH '00, pp.131-144, 2000.
DOI : 10.1145/344779.344849

]. J. Mbp-+-09, F. Mairal, J. Bach, G. Ponce, A. Sapiro et al., Non-local sparse models for image restoration, International Conference on Computer Vision, pp.2272-2279, 2009.

. V. Mccl-+-08-]-j, J. Manjón, J. J. Carbonell-caballero, G. Lull, L. García-martí et al., MRI denoising using non-local means, Medical image analysis, vol.12, issue.4, pp.514-523, 2008.

D. [. Muja and . Lowe, Fast approximate nearest neighbors with automatic algorithm configuration, International Conference on Computer Vision Theory and Application (VISSAPP), pp.331-340, 2009.

D. [. Muja and . Lowe, Fast Matching of Binary Features, 2012 Ninth Conference on Computer and Robot Vision, pp.404-410, 2012.
DOI : 10.1109/CRV.2012.60

M. [. Maleki, R. G. Narayan, and . Baraniuk, Anisotropic nonlocal means denoising, Applied and Computational Harmonic Analysis, vol.35, issue.3, 2012.
DOI : 10.1016/j.acha.2012.11.003
URL : http://arxiv.org/abs/1112.0311

M. [. Morigi, F. Rucci, and . Sgallari, Nonlocal surface fairing. Scale Space and Variational Methods in Computer Vision, pp.38-49, 2012.
DOI : 10.1007/978-3-642-24785-9_4

]. A. Nem00 and . Nemirovski, Topics in non-parametric. Ecole d'Ete de Probabilites de Saint-Flour, p.85, 2000.

]. A. Nfp-+-13, M. Newson, P. Fradet, A. Pérez, Y. Almansa et al., Towards fast, generic video inpainting, 2013.

S. [. Olonetsky and . Avidan, Treecann-kd tree coherence approximate nearest neighbor algorithm, European Conference on Computer Vision (ECCV), pp.602-615, 2012.
DOI : 10.1007/978-3-642-33765-9_43

G. [. Öztireli, M. H. Guennebaud, and . Gross, Feature Preserving Point Set Surfaces based on Non-Linear Kernel Regression, Computer Graphics Forum, vol.16, issue.2, pp.493-501, 2009.
DOI : 10.1111/j.1467-8659.2009.01388.x

F. [. Paris and . Durand, A fast approximation of the bilateral filter using a signal processing approach, European Conference on Computer Vision (ECCV), pp.568-580, 2006.

F. [. Paris and . Durand, A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach, International Journal of Computer Vision, vol.25, issue.3, pp.24-52, 2009.
DOI : 10.1007/978-3-642-81929-2

V. [. Polzehl and . Spokoiny, Adaptive weights smoothing with applications to image restoration, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.62, issue.2, pp.335-354, 2000.
DOI : 10.1111/1467-9868.00235

A. [. Rosman, R. Dubrovina, and . Kimmel, Patch-Collaborative Spectral Point-Cloud Denoising, Computer Graphics Forum (CGF). Wiley Online Library, 2013.
DOI : 10.1016/j.cam.2005.03.094
URL : http://www.cs.technion.ac.il/~ron/PAPERS/Journal/RosmanDubrovinaKimmel_CGF2013.pdf

S. [. Rudin, E. Osher, and . 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

]. J. Sal10a and . Salmon, Agrégation d'estimateurs et méthodes à patch pour le débruitage d'images numériques, 2010.

]. J. Sal10b and . Salmon, On two parameters for denoising with non-local means, IEEE Signal Processing Letters, vol.17, issue.3, pp.269-272, 2010.

]. D. She68 and . Shepard, A two-dimensional interpolation function for irregularly-spaced data, Proceedings of the ACM national conference, pp.517-524, 1968.

Y. [. Salmon and . Strozecki, Patch reprojections for Non-Local methods, Signal Processing, vol.92, issue.2, pp.477-489, 2012.
DOI : 10.1016/j.sigpro.2011.08.011

]. T. Tas08 and . Tasdizen, Principal components for non-local means image denoising, IEEE International Conference on Image Processing (ICIP), pp.1728-1731, 2008.

]. T. Tas09 and . Tasdizen, Principal neighborhood dictionaries for nonlocal means image denoising, IEEE Transactions on Image Processing, vol.18, issue.12, pp.2649-2660, 2009.

R. [. Tomasi and . Manduchi, Bilateral filtering for gray and color images, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), p.839, 1998.
DOI : 10.1109/ICCV.1998.710815

T. [. Vialaneix and . Boubekeur, SBL mesh filter, ACM SIGGRAPH 2011 Talks on, SIGGRAPH '11, p.24, 2011.
DOI : 10.1145/2037826.2037858
URL : https://hal.archives-ouvertes.fr/hal-01444950

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

. F. Wcz-+-08-]-r, W. Z. Wang, S. Y. Chen, Y. Zhang, X. Z. Zhang et al., Similaritybased denoising of point-sampled surfaces, Journal of Zhejiang University- Science, vol.9, issue.6, pp.807-815, 2008.

]. J. Wgy-+-06, Y. Wang, Y. Guo, Y. Ying, Q. Liu et al., Fast non-local algorithm for image denoising, IEEE International Conference on Image Processing (ICIP), pp.1429-1432, 2006.

A. [. Yoshizawa, H. Belyaev, and . Seidel, Smoothing by Example: Mesh Denoising by Averaging with Similarity-Based Weights, IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06), pp.38-44, 2006.
DOI : 10.1109/SMI.2006.38

G. [. Yu, S. Sapiro, and . Mallat, Image modeling and enhancement via structured sparse model selection, IEEE International Conference on Image Processing (ICIP), pp.1641-1644, 2010.
DOI : 10.1109/icip.2010.5653853
URL : http://www.ima.umn.edu/preprints/jan2010/2292.pdf

G. [. Yu, S. Sapiro, and . Mallat, Solving inverse problems with piecewise linear estimators : from gaussian mixture models to structured sparsity, IEEE Transactions on Image Processing, vol.21, issue.5, pp.2481-2499, 2012.
DOI : 10.21236/ADA540722

L. [. Yaroslavsky and . Yaroslavskij, Digital picture processing. an introduction, Springer Seriesin Information Sciences, vol.1, 1985.

S. [. Zimmer, J. Didas, and . Weickert, A rotationally invariant block matching strategy improving image denoising with non-local means, Proceedings of International Workshop on Local and Non-Local Approximation in Image Processing, pp.135-142, 2008.

W. [. Zhang, D. Dong, G. Zhang, and . Shi, Two-stage image denoising by principal component analysis with local pixel grouping, Pattern Recognition, vol.43, issue.4, pp.1531-1549, 2010.
DOI : 10.1016/j.patcog.2009.09.023
URL : http://www4.comp.polyu.edu.hk/%7Ecslzhang/paper/PR_10_x_3.pdf

Y. [. Zoran and . Weiss, From learning models of natural image patches to whole image restoration, 2011 International Conference on Computer Vision, pp.479-486, 2011.
DOI : 10.1109/ICCV.2011.6126278