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Proceedings Article

Compressive imaging spectrometers using coded apertures

[+] Author Affiliations
D. J. Brady, M. E. Gehm

Duke Univ.

Proc. SPIE 6246, Visual Information Processing XV, 62460A (May 12, 2006); doi:10.1117/12.667605
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From Conference Volume 6246

  • Visual Information Processing XV
  • Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld
  • Orlando (Kissimmee), FL | April 17, 2006


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.

© (2006) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

D. J. Brady and M. E. Gehm
"Compressive imaging spectrometers using coded apertures", Proc. SPIE 6246, Visual Information Processing XV, 62460A (May 12, 2006); doi:10.1117/12.667605; http://dx.doi.org/10.1117/12.667605

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