
Proceedings Paper
Compressive imaging spectrometers using coded aperturesFormat | Member Price | Non-Member Price |
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Paper Abstract
A spectral imager provides a 3-D data cube in which the spatial information (2-D) of the image is complemented
by spectral information (1-D) about each spatial location. Typically, these systems are operated in a
fully-determined (or overdetermined) manner so that the measurements can be computationally inverted into a
reliable estimate of the source. We propose a notional system design that is highly underdetermined, yet still
computationally invertable. This approach relies on recently-developed concepts in compressive sensing. Because
the number of required measurements is greatly reduced from traditional designs, the result is a faster and more
economical sensor system.
Paper Details
Date Published: 12 May 2006
PDF: 9 pages
Proc. SPIE 6246, Visual Information Processing XV, 62460A (12 May 2006); doi: 10.1117/12.667605
Published in SPIE Proceedings Vol. 6246:
Visual Information Processing XV
Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld, Editor(s)
PDF: 9 pages
Proc. SPIE 6246, Visual Information Processing XV, 62460A (12 May 2006); doi: 10.1117/12.667605
Show Author Affiliations
D. J. Brady, Duke Univ. (United States)
M. E. Gehm, Duke Univ. (United States)
Published in SPIE Proceedings Vol. 6246:
Visual Information Processing XV
Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld, Editor(s)
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