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ICIP
2009
IEEE
14 years 8 months ago
Compressed Sensing Of Natural Images
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
ICIP
2009
IEEE
14 years 8 months ago
Dequantizing Compressed Sensing With Non-gaussian Constraints
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
STOC
2007
ACM
106views Algorithms» more  STOC 2007»
14 years 8 months ago
One sketch for all: fast algorithms for compressed sensing
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp,...
ICIP
2005
IEEE
14 years 9 months ago
Spatiotemporal-chromatic structure of natural scenes
We investigate the implications of a unified spatiotemporal-chromatic basis for compression and reconstruction of image sequences. Different adaptive methods (PCA and ICA) are app...
Steven Bergner, Mark S. Drew
ICIP
2009
IEEE
13 years 5 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman