64 search results - page 2 / 13 » Image Denoising Via Learned Dictionaries and Sparse represen... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
TSP
2010
12 years 12 months ago
2010
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
TIP
2008
13 years 5 months ago
2008
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...