Non-local sparse models for image restoration
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Guillermo Sapiro | Jean Ponce | Andrew Zisserman | Julien Mairal | Francis R. Bach | F. Bach | J. Ponce | Andrew Zisserman | G. Sapiro | J. Mairal
[1] A. Haar. Zur Theorie der orthogonalen Funktionensysteme , 1910 .
[2] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[4] Stanley Osher,et al. Total variation based image restoration with free local constraints , 1994, Proceedings of 1st International Conference on Image Processing.
[5] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[6] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[7] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[8] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[9] S. Mallat. A wavelet tour of signal processing , 1998 .
[10] Alexei A. Efros,et al. Texture synthesis by non-parametric sampling , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[11] Kjersti Engan,et al. Frame based signal compression using method of optimal directions (MOD) , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).
[12] Stéphane Mallat,et al. A Wavelet Tour of Signal Processing, 2nd Edition , 1999 .
[13] Terrence J. Sejnowski,et al. Learning Overcomplete Representations , 2000, Neural Computation.
[14] Guillermo Sapiro,et al. Image inpainting , 2000, SIGGRAPH.
[15] Yücel Altunbasak,et al. Color plane interpolation using alternating projections , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[16] Patrick Pérez,et al. Object removal by exemplar-based inpainting , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[17] Martin J. Wainwright,et al. Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..
[18] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[19] Patrick Pérez,et al. Region filling and object removal by exemplar-based image inpainting , 2004, IEEE Transactions on Image Processing.
[20] Michael J. Black,et al. Fields of Experts: a framework for learning image priors , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[21] Malik Beshir Malik,et al. Applied Linear Regression , 2005, Technometrics.
[22] T. R. Gosnell,et al. Digital Image Reconstruction: Deblurring and Denoising , 2005 .
[23] Stephen J. Wright,et al. Simultaneous Variable Selection , 2005, Technometrics.
[24] Jean-Michel Morel,et al. A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[25] Lei Zhang,et al. Color demosaicking via directional linear minimum mean square-error estimation , 2005, IEEE Transactions on Image Processing.
[26] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[27] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[28] Joel A. Tropp,et al. ALGORITHMS FOR SIMULTANEOUS SPARSE APPROXIMATION , 2006 .
[29] Suyash P. Awate,et al. Unsupervised, information-theoretic, adaptive image filtering for image restoration , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[31] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[32] Joel A. Tropp,et al. Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit , 2006, Signal Process..
[33] J. Morel,et al. Non local demosaicing , 2007 .
[34] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[35] R. Tibshirani,et al. PATHWISE COORDINATE OPTIMIZATION , 2007, 0708.1485.
[36] Karen O. Egiazarian,et al. Spatially adaptive color filter array interpolation for noiseless and noisy data , 2007, Int. J. Imaging Syst. Technol..
[37] Ronald R. Coifman,et al. Regularization on Graphs with Function-adapted Diffusion Processes , 2008, J. Mach. Learn. Res..
[38] N. Meinshausen,et al. Stability selection , 2008, 0809.2932.
[39] Daniel P. Huttenlocher,et al. Sparse Long-Range Random Field and Its Application to Image Denoising , 2008, ECCV.
[40] Michael Elad,et al. Sparse Representation for Color Image Restoration , 2008, IEEE Transactions on Image Processing.
[41] Francis R. Bach,et al. Bolasso: model consistent Lasso estimation through the bootstrap , 2008, ICML '08.
[42] Michael Elad,et al. Learning Multiscale Sparse Representations for Image and Video Restoration , 2007, Multiscale Model. Simul..
[43] Jean-Michel Morel,et al. Self-Similarity Driven Color Demosaicking , 2009, IEEE Transactions on Image Processing.
[44] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[45] Francis R. Bach,et al. Structured Variable Selection with Sparsity-Inducing Norms , 2009, J. Mach. Learn. Res..