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Proceedings Paper

Spectral image estimation for coded aperture snapshot spectral imagers
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Paper Abstract

This paper describes numerical estimation techniques for coded aperture snapshot spectral imagers (CASSI). In a snapshot, a CASSI captures a two-dimensional (2D) array of measurements that is an encoded representation of both spectral information and 2D spatial information of a scene. The spatial information is modulated by a coded aperture and the spectral information is modulated by a dispersive element. The estimation process decodes the 2D measurements to render a three-dimensional spatio-spectral estimate of the scene, and is therefore an indispensable component of the spectral imager. Numerical estimation results are presented.

Paper Details

Date Published: 4 September 2008
PDF: 15 pages
Proc. SPIE 7076, Image Reconstruction from Incomplete Data V, 707602 (4 September 2008); doi: 10.1117/12.795545
Show Author Affiliations
Ashwin A. Wagadarikar, Duke Univ. (United States)
Nikos P. Pitsianis, Duke Univ. (United States)
Aristotle Univ. (Greece)
Xiaobai Sun, Duke Univ. (United States)
David J. Brady, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 7076:
Image Reconstruction from Incomplete Data V
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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