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» The Skip-Innovation Model for Sparse Images
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DCC
2000
IEEE
13 years 9 months ago
The Skip-Innovation Model for Sparse Images
On sparse images, contiguous runs of identical symbols often occur in the same coding context. This paper proposes a model for efficiently encoding such runs in a twodimensional s...
Paul J. Ausbeck Jr.
NIPS
2007
13 years 6 months ago
On Sparsity and Overcompleteness in Image Models
Computational models of visual cortex, and in particular those based on sparse coding, have enjoyed much recent attention. Despite this currency, the question of how sparse or how...
Pietro Berkes, Richard Turner, Maneesh Sahani
CVPR
2011
IEEE
13 years 1 months ago
Robust Sparse Coding for Face Recognition
Recently the sparse representation (or coding) based classification (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse lin...
Meng Yang, Lei Zhang
ICIP
2010
IEEE
13 years 3 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...
SIAMIS
2008
211views more  SIAMIS 2008»
13 years 5 months ago
Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary
Modeling signals by sparse and redundant representations has been drawing considerable attention in recent years. Coupled with the ability to train the dictionary using signal exam...
Michal Aharon, Michael Elad