16 search results - page 2 / 4 » Learning denoising bounds for noisy images |
138
Voted
ICASSP
2011
IEEE
14 years 5 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...
109
Voted
ICIP
2010
IEEE
14 years 11 months ago
2010
IEEE
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
105
Voted
PAMI
2008
15 years 1 months ago
2008
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove colo...
129
Voted
MP
2010
15 years 8 days ago
2010
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
257
click to vote
CCIW
2011
Springer
14 years 5 months ago
2011
Springer
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...