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CVPR
2008
IEEE
14 years 6 months ago
Simultaneous image transformation and sparse representation recovery
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
DCC
2002
IEEE
14 years 4 months ago
Iterated Denoising for Image Recovery
In this paper we propose an algorithm for image recovery where completely lost blocks in an image/video-frame are recovered using spatial information surrounding these blocks. Our...
Onur G. Guleryuz
DCC
2010
IEEE
13 years 11 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
ICIP
2008
IEEE
14 years 6 months ago
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery
Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube,...
Manu Parmar, Steven Lansel, Brian A. Wandell
CORR
2011
Springer
179views Education» more  CORR 2011»
12 years 11 months ago
Recovery of Sparsely Corrupted Signals
We investigate the recovery of signals exhibiting a sparse representation in a general (i.e., possibly redundant or incomplete) dictionary that are corrupted by additive noise adm...
Christoph Studer, Patrick Kuppinger, Graeme Pope, ...