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Proceedings Paper

Compressive imaging sensors
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Paper Abstract

This paper describes a compressive sensing strategy developed under the Compressive Optical MONTAGE Photography Initiative. Multiplex and multi-channel measurements are generally necessary for compressive sensing. In a compressive imaging system described here, static focal plane coding is used with multiple image apertures for non-degenerate multiplexing and multiple channel sampling. According to classical analysis, one might expect the number of pixels in a reconstructed image to equal the total number of pixels across the sampling channels, but we demonstrate that the system can achieve up to 50% compression with conventional benchmarking images. In general, the compression rate depends on the compression potential of an image with respect to the coding and decoding schemes employed in the system.

Paper Details

Date Published: 18 May 2006
PDF: 9 pages
Proc. SPIE 6232, Intelligent Integrated Microsystems, 62320A (18 May 2006); doi: 10.1117/12.666451
Show Author Affiliations
N. P. Pitsianis, Duke Univ. (United States)
D. J. Brady, Duke Univ. (United States)
A. Portnoy, Duke Univ. (United States)
X. Sun, Duke Univ. (United States)
T. Suleski, Univ. of North Carolina, Charlotte (United States)
M. A. Fiddy, Univ. of North Carolina, Charlotte (United States)
M. R. Feldman, Digital Optics Corp. (United States)
R. D. TeKolste, Digital Optics Corp. (United States)


Published in SPIE Proceedings Vol. 6232:
Intelligent Integrated Microsystems
Ravindra A. Athale; John C. Zolper, Editor(s)

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