374 search results - page 7 / 75 » Sparse representation of images with hybrid linear models |
ACIVS
2005
Springer
14 years 2 months ago
2005
Springer
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Among the many ways to model signals, a recent approach that draws considerable attention is sparse representation modeling. In this model, the signal is assumed to be generated a...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
ICIP
1999
IEEE
14 years 10 months ago
1999
IEEE