Image sequence denoising via sparse and redundant representations, submitted to the (2007)

by Matan Protter , Michael Elad
Venue:IEEE Trans. on Image Processing
Citations:26 - 9 self

Active Bibliography

51 Learning multiscale sparse representations for image and video restoration – - 2007
13 Sparse and redundant modeling of image content using an image-signature-dictionary – - 2007
207 From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images – - 2007
4 Patch-based Video Processing: a Variational Bayesian Approach
108 Sparse representation for color image restoration – - 2007
8 Spatio-temporal markov random field for video denoising – - 2007
9 Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity – - 2010
6 Patch-based non-local functional for denoising fluorescence microscopy image sequences – - 2009
Thème COG
microscopy image sequence denoising – - 2008
fluorescence microscopy image sequence denoising
47 Image denoising via learned dictionaries and sparse representation – - 2006
(Invited Paper) – - 2009
19 VIDEO DENOISING BY SPARSE 3D TRANSFORM-DOMAIN COLLABORATIVE FILTERING
9 Image modeling and enhancement via structured sparse model selection. Accepted to ICIP – - 2010
45 Sparse Representation For Computer Vision and Pattern Recognition – - 2009
Variable Bandwidth Image Models for Texture-Preserving Enhancement of Natural Images – - 2008
25 Clustering-Based Denoising With Locally Learned Dictionaries – - 2009
28 Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization – - 2008