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» Image Super-Resolution Via Sparse Representation
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ACIVS
2005
Springer
13 years 10 months ago
Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations
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...
Luis Mancera, Javier Portilla
ICCV
2009
IEEE
14 years 9 months ago
Sparse Representation of Cast Shadows via L1-Regularized Least Squares
Scenes with cast shadows can produce complex sets of images. These images cannot be well approximated by lowdimensional linear subspaces. However, in this paper we show that the...
Xue Mei, Haibin Ling, David W. Jacobs

Publication
468views
13 years 1 months ago
Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR)
When appearance variation of object and its background, partial occlusion or deterioration in object images occurs, most existing visual tracking methods tend to fail in tracking ...
Zhenjun Han, Jianbin Jiao, Baochang Zhang, Qixiang...
ICPR
2010
IEEE
13 years 9 months ago
Microaneurysm (MA) Detection Via Sparse Representation Classifier with MA and Non-MA Dictionary Learning
Diabetic retinopathy (DR) is a common complication of diabetes that damages the retina and leads to sight loss if treated late. In its earliest stage, DR can be diagnosed by microa...
Bob Zhang, Lei Zhang, Jane You, Fakhri Karray
ICIP
2010
IEEE
13 years 2 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...