Spectral image estimation for coded aperture snapshot spectral imagers

Ashwin A. Wagadarikar, Nikos P. Pitsianis, Xiaobai Sun, David J. Brady

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

91 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationImage Reconstruction from Incomplete Data V
DOIs
StatePublished - 2008
Externally publishedYes
EventImage Reconstruction from Incomplete Data V - San Diego, CA, United States
Duration: Aug 11 2008Aug 12 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7076
ISSN (Print)0277-786X

Conference

ConferenceImage Reconstruction from Incomplete Data V
Country/TerritoryUnited States
CitySan Diego, CA
Period8/11/088/12/08

Keywords

  • Coded aperture snapshot spectral imager
  • Spectral image estimation
  • System modeling

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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