12 search results - page 1 / 3 » Blind Deconvolution Using A Normalized Sparsity Measure |
CVPR
2011
IEEE
12 years 12 months ago
2011
IEEE
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
ICIP
2009
IEEE
14 years 5 months ago
2009
IEEE
Sparsity constraints are now very popular to regularized inverse problems. We review several approaches which have been proposed in the last ten years to solve inverse problems su...
IJON
2002
13 years 4 months ago
2002
A measure of temporal predictability is de
ISBI
2004
IEEE
14 years 5 months ago
2004
IEEE
We address the problem of restoration of images obtained through a scattering medium. We present an efficient quasimaximum likelihood blind deconvolution approach based on the fas...
SIGPRO
2008
13 years 4 months ago
2008
In this paper, we present an algorithm for multichannel blind deconvolution of seismic signals, which exploits lateral continuity of earth layers by dynamic programming approach. ...