M. Elad, J. Starck, P. Querre, and D. Donoho, Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA), Applied and Computational Harmonic Analysis, vol.19, issue.3, pp.340-358, 2005.
DOI : 10.1016/j.acha.2005.03.005
URL : http://doi.org/10.1016/j.acha.2005.03.005

G. S. Bertalmio, L. Vesa, and S. Osher, Simultaneous structure and texture image inpainting, IEEE Trans. Image Process, TIP, vol.12, issue.8, p.882889, 2003.

M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester, Image inpainting, Proceedings of the 27th annual conference on Computer graphics and interactive techniques , SIGGRAPH '00, pp.417-424, 2000.
DOI : 10.1145/344779.344972
URL : https://hal.archives-ouvertes.fr/hal-00522652

A. Wong and J. Orchard, A nonlocal-means approach to exemplarbased inpainting, Image Processing 15th IEEE International Conference on, pp.2600-2603, 2008.

T. F. Chan, S. H. Kang, J. Kang, and . Shen, Euler's elastica and curvature based inpaintings, SIAM J. Appl. Math, vol.63, pp.564-592, 2002.

A. Criminisi, P. Perez, and K. Toyama, Object removal by exemplarbased inpainting, Computer Vision and Pattern Recognition Proceedings. 2003 IEEE Computer Society Conference on, pp.721-728, 2003.

H. Grossauer, A Combined PDE and Texture Synthesis Approach to Inpainting, Lecture Notes in Computer Science, vol.3022, pp.214-224, 2004.
DOI : 10.1007/978-3-540-24671-8_17

A. Z. Levin and Y. Weiss, Learning how to inpaint from global image statistics, Proceedings Ninth IEEE International Conference on Computer Vision, pp.305-312
DOI : 10.1109/ICCV.2003.1238360

V. C. Bugeau, M. Bertalmo, and G. Sapiro, A Comprehensive Framework for Image Inpainting, IEEE Transactions on Image Processing, vol.19, issue.10, pp.2634-2645, 2010.
DOI : 10.1109/TIP.2010.2049240
URL : https://hal.archives-ouvertes.fr/hal-00522652

C. Ballester, M. Bertalmio, V. Caselles, G. Sapiro, and J. Verdera, Filling-in by joint interpolation of vector fields and gray levels, IEEE Transactions on Image Processing, vol.10, issue.8, pp.1200-1211, 2001.
DOI : 10.1109/83.935036

Z. L. Zinovi-tauber and M. S. Drew, Review and Preview: Disocclusion by Inpainting for Image-Based Rendering, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.37, issue.4, pp.527-540, 2007.
DOI : 10.1109/TSMCC.2006.886967

T. K. Shih and R. Chang, Digital inpainting -survey and multilayer image inpainting algorithms Visage lab face retouch, Third International Conference on Information Technology and Applications, ICITA, pp.15-24, 2005.
DOI : 10.1109/icita.2005.169

U. Video, Available: https://itunes.apple.com/us, p.8

. Arcsoft, Available: http://perfect365 Image reconstruction invariant to relighting, 2005.

A. B. Prez and M. Gangnet, Poisson image editing, Proceedings of ACM SIGGRAPH, pp.313-318

L. Wei and M. Levoy, Fast texture synthesis using tree-structured vector quantization, Proceedings of the 27th annual conference on Computer graphics and interactive techniques , SIGGRAPH '00, pp.479-488, 2000.
DOI : 10.1145/344779.345009
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5631

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

N. Batool and R. Chellappa, Modeling and Detection of Wrinkles in Aging Human Faces Using Marked Point Processes, ECCV Workshops, pp.2012-178
DOI : 10.1007/978-3-642-33868-7_18
URL : https://hal.archives-ouvertes.fr/hal-01096683

A. A. Efros and W. T. Freeman, Image quilting for texture synthesis and transfer, Proceedings of the 28th annual conference on Computer graphics and interactive techniques , SIGGRAPH '01, pp.341-346, 2001.
DOI : 10.1145/383259.383296

A. Rao and R. Jain, Computerized flow field analysis: oriented texture fields Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.14, issue.7, pp.693-709, 1992.

F. J. Ayres and R. M. Rangayyan, Design and performance analysis of oriented feature detectors, Journal of Electronic Imaging, vol.16, issue.2, pp.23-30, 2007.
DOI : 10.1117/1.2728751

P. Orbanz and J. Buhmann, SAR images as mixtures of Gaussian mixtures, IEEE International Conference on Image Processing 2005, pp.209-221, 2005.
DOI : 10.1109/ICIP.2005.1530028

T. Nguyen and Q. Wu, Fast and robust spatially constrained Gaussian mixture model for image segmentation Circuits and Systems for Video Technology, IEEE Transactions on, vol.23, issue.4, pp.621-635, 2013.

S. Sanjay-gopal and T. Hebert, Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm, IEEE Transactions on Image Processing, vol.7, issue.7, pp.1014-1028, 1998.
DOI : 10.1109/83.701161

W. Lin, J. Hays, C. Wu, Y. Liu, and V. Kwatra, Quantitative evaluation of near regular texture synthesis algorithms, Computer Vision and Pattern Recognition, pp.427-434, 2006.

Z. Almeraj, C. S. Kaplan, and P. Asente, Towards effective evaluation of geometric texture synthesis algorithms Not dressed as lamb, Proceedings of the Symposium on Non-Photorealistic Animation and Rendering, ser. NPAR '13, pp.5-14, 2013.

X. Li, Image recovery via hybrid sparse representations: A deterministic annealing approach Selected Topics in Signal Processing, IEEE Journal, vol.5, issue.5, pp.953-962, 2011.