16 search results - page 2 / 4 » Image Denoising with Shrinkage and Redundant Representations |
TSP
2010
12 years 12 months ago
2010
This paper deals with the Bayesian signal denoising problem, assuming a prior based on a sparse representation modeling over a unitary dictionary. It is well known that the maximum...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
The problem of removing white zero-mean Gaussian noise from an image is an interesting inverse problem to be investigated in this paper through sparse and redundant representations...
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose an effective color image denoising method that exploits ltering in highly sparse local 3D transform domain in each channel of a luminance-chrominance color space. For e...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
TIP
2008
13 years 5 months ago
2008
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...