Statistical performance bounds for coded-aperture compressive spectral-polarimetric imaging

S. Prasad, Q. Zhang, R. Plemmons, D. Brady

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

Abstract

We apply statistical information and Bayesian estimation theories to calculate certain fundamental bounds on the reconstruction of segment boundaries, material type, and surface texture of sparse objects from their coded-aperture compressive spectral-polarimetric image data.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2012
PublisherOptical Society of America (OSA)
PagesCTu3B.1
ISBN (Print)1557529477, 9781557529473
DOIs
StatePublished - 2012
Externally publishedYes
EventComputational Optical Sensing and Imaging, COSI 2012 - Monterey, CA, United States
Duration: Jun 24 2012Jun 28 2012

Publication series

NameComputational Optical Sensing and Imaging, COSI 2012

Other

OtherComputational Optical Sensing and Imaging, COSI 2012
Country/TerritoryUnited States
CityMonterey, CA
Period6/24/126/28/12

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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