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» Sparsity in time-frequency representations
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CISS
2008
IEEE
14 years 10 months ago
Measuring interference in overcomplete signal representations
Currently, there is no quantitative way to ascertain how an overcomplete signal representation describes a signal and its features using terms drawn from a dictionary. Though spars...
Bob L. Sturm, John J. Shynk, Laurent Daudet
CVPR
2008
IEEE
15 years 11 months ago
Image super-resolution as sparse representation of raw image patches
This paper addresses the problem of generating a superresolution (SR) image from a single low-resolution input image. We approach this problem from the perspective of compressed s...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
CVPR
2010
IEEE
14 years 10 months ago
Sparse representation using nonnegative curds and whey
It has been of great interest to find sparse and/or nonnegative representations in computer vision literature. In this paper we propose a novel method to such a purpose and refer...
Yanan Liu, Fei Wu, Zhihua Zhang, Yueting Zhuang, S...
CORR
2010
Springer
275views Education» more  CORR 2010»
14 years 10 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
ICASSP
2011
IEEE
14 years 1 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad