Compressive imaging spectrometers using coded apertures

D. J. Brady, M. E. Gehm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

42 Scopus citations

Abstract

A spectral imager provides a 3-D data cube in which the spatial information (2-D) of the image is comple-mented 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.

Original languageEnglish (US)
Title of host publicationVisual Information Processing XV
DOIs
StatePublished - 2006
Externally publishedYes
EventVisual Information Processing XV - Kissimmee, FL, United States
Duration: Apr 18 2006Apr 19 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6246
ISSN (Print)0277-786X

Conference

ConferenceVisual Information Processing XV
Country/TerritoryUnited States
CityKissimmee, FL
Period4/18/064/19/06

Keywords

  • Compressive sensing
  • Multiplex spectroscopy
  • Spectroscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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