1582 search results - page 25 / 317 » On sparse signal representations |
ICIP
2007
IEEE
16 years 1 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...
ICASSP
2009
IEEE
15 years 6 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...
ESANN
2008
15 years 1 months ago
2008
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
— We study the inversion of a random field from pointwise measurements collected by a sensor network. We assume that the field has a sparse representation in a known basis. To ...