28 search results - page 5 / 6 » Double sparsity: learning sparse dictionaries for sparse sig... |
ICIP
2004
IEEE
14 years 7 months ago
2004
IEEE
The dictionary approach to signal and image processing has been massively investigated in the last two decades, proving very attractive for a wide range of applications. The effec...
CVPR
2011
IEEE
13 years 3 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
2010
13 years 14 days ago
2010
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...