Distributed feature-specific imaging

Jun Ke, Premchandra Shankar, Mark A. Neifeld

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

Abstract

We describe a distributed network of low-power feature-specific (i.e., compressive) imagers. Several candidate projection types are compared. Linear minimum mean squared error estimation is used for reconstruction. Image quality and sensor lifetime are quantified.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2007
PublisherOptical Society of America
ISBN (Print)1557528381, 9781557528384
StatePublished - Jan 1 2007
EventComputational Optical Sensing and Imaging, COSI 2007 - Vancouver, Canada
Duration: Jun 18 2007Jun 18 2007

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherComputational Optical Sensing and Imaging, COSI 2007
CountryCanada
CityVancouver
Period6/18/076/18/07

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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