64 search results - page 5 / 13 » Image Denoising Via Learned Dictionaries and Sparse represen... |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
TIP
2011
13 years 2 months ago
2011
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...