Sciweavers

425 search results - page 15 / 85
» Image representation by compressed sensing
Sort
View
COMPGEOM
2011
ACM
14 years 3 months ago
Compressive sensing with local geometric features
We propose a framework for compressive sensing of images with local geometric features. Specifically, let x ∈ RN be an N-pixel image, where each pixel p has value xp. The image...
Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachli...
CORR
2011
Springer
186views Education» more  CORR 2011»
14 years 3 months ago
Blind Compressed Sensing Over a Structured Union of Subspaces
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
Jorge Silva, Minhua Chen, Yonina C. Eldar, Guiller...
TOG
2008
125views more  TOG 2008»
14 years 11 months ago
Factoring repeated content within and among images
We reduce transmission bandwidth and memory space for images by factoring their repeated content. A transform map and a condensed epitome are created such that all image blocks ca...
Huamin Wang, Yonatan Wexler, Eyal Ofek, Hugues Hop...
ICIP
2005
IEEE
16 years 1 months ago
Optimal representations in multitree dictionaries with application to compression
We generalize our results of [8, 9] and propose a new framework of multitree dictionaries which include many previously proposed dictionaries as well as many new, very large, tree...
Yan Huang, Ilya Pollak, Minh N. Do, Charles A. Bou...
ICIP
2006
IEEE
15 years 5 months ago
Compressive Sampling Vs. Conventional Imaging
Compressive sampling (CS), or “Compressed Sensing,” has recently generated a tremendous amount of excitement in the image processing community. CS involves taking a relatively...
Jarvis Haupt, Robert Nowak