16 search results - page 1 / 4 » Image Denoising with Shrinkage and Redundant Representations |
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
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 ...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
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...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
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...
TIP
2008
13 years 4 months ago
2008
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...