DocumentCode :
1103340
Title :
Single-Pixel Imaging via Compressive Sampling
Author :
Duarte, Marco F. ; Davenport, Mark A. ; Takhar, D. ; Laska, Jason N. ; Sun, Ting ; Kelly, Kevin F. ; Baraniuk, Richard G.
Author_Institution :
Rice Univ., Houston
Volume :
25
Issue :
2
fYear :
2008
fDate :
3/1/2008 12:00:00 AM
Firstpage :
83
Lastpage :
91
Abstract :
In this article, the authors present a new approach to building simpler, smaller, and cheaper digital cameras that can operate efficiently across a broader spectral range than conventional silicon-based cameras. The approach fuses a new camera architecture based on a digital micromirror device with the new mathematical theory and algorithms of compressive sampling.
Keywords :
cameras; data compression; digital photography; image sampling; micromirrors; broad spectral range; compressive sampling; digital camera; digital micromirror device; single pixel imaging; CMOS image sensors; Charge coupled devices; Computer architecture; Digital cameras; Hyperspectral imaging; Image reconstruction; Layout; Lenses; Optical computing; Sampling methods;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2007.914730
Filename :
4472247
Link To Document :
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