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13 years 4 months ago
Optimal Denoising in Redundant Representations
Abstract--Image denoising methods are often designed to minimize mean-squared error (MSE) within the subbands of a multiscale decomposition. However, most high-quality denoising re...
Martin Raphan, Eero P. Simoncelli
CVPR
2006
IEEE
14 years 6 months ago
Image Denoising with Shrinkage and Redundant Representations
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
Michael Elad, Boaz Matalon, Michael Zibulevsky
DAGM
2010
Springer
13 years 5 months ago
Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization
Abstract. Image fusion in high-resolution aerial imagery poses a challenging problem due to fine details and complex textures. In particular, color image fusion by using virtual or...
Stefan Kluckner, Thomas Pock, Horst Bischof
CVPR
2006
IEEE
14 years 6 months ago
Image Denoising Via Learned Dictionaries and Sparse representation
We address the image denoising problem, where zeromean white and homogeneous Gaussian additive noise should be removed from a given image. The approach taken is based on sparse an...
Michael Elad, Michal Aharon
ICASSP
2010
IEEE
13 years 5 months ago
A weighted discriminative approach for image denoising with overcomplete representations
We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
Amir Adler, Yacov Hel-Or, Michael Elad