10 search results - page 1 / 2 » Denoising sparse noise via online dictionary learning |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
CVPR
2011
IEEE
13 years 1 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 4 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...