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» Compressed Sensing Of Natural Images
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TIP
2010
112views more  TIP 2010»
13 years 4 months ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce
ICASSP
2010
IEEE
13 years 6 months ago
A compressive sensing image compression algorithm using quantized DCT and noiselet information
Inspired by recent theoretical advances in compressive sensing (CS), we propose a new framework that combines the classical local discrete cosine transform used in image compressi...
Jiangtao Wen, Zhuoyuan Chen, Yuxing Han, John D. V...
TIT
2002
65views more  TIT 2002»
13 years 5 months ago
On the importance of combining wavelet-based nonlinear approximation with coding strategies
This paper provides a mathematical analysis of transform compression in its relationship to linear and nonlinear approximation theory. Contrasting linear and nonlinear approximatio...
Albert Cohen, Ingrid Daubechies, Onur G. Guleryuz,...
CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 1 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
ECCV
2010
Springer
13 years 11 months ago
Compressive Acquisition of Dynamic Scenes
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...