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» On Sparsity and Overcompleteness in Image Models
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ICIP
2010
IEEE
13 years 5 months ago
Image modeling and enhancement via structured sparse model selection
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 ...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
ICASSP
2011
IEEE
12 years 11 months ago
Denoising sparse noise via online dictionary learning
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...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
TIP
2011
255views more  TIP 2011»
13 years 2 months ago
Dictionary Learning for Stereo Image Representation
—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...
Ivana Tosic, Pascal Frossard
ICCV
2011
IEEE
12 years 7 months ago
Centralized Sparse Representation for Image Restoration
This paper proposes a novel sparse representation model called centralized sparse representation (CSR) for image restoration tasks. In order for faithful image reconstruction, it ...
Weisheng Dong, Lei Zhang, Guangming Shi
ICASSP
2008
IEEE
14 years 2 months ago
Model-based sparsity projection pursuit for lattice vector quantization
In this work we present an efficient coding scheme suitable for lossy image compression using a lattice vector quantizer (LVQ) based on statistically independent data projections...
Leonardo H. Fonteles, Marc Antonini, Ronald Phlypo