Information optimal adaptive measurement design for compressive imaging

Liang Chih Huang, Amit Ashok, Mark Neifeld

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

Abstract

We design an adaptive compressive imager by maximizing mutual information between measurements and the object. Simulation result shows that the proposed design requires 1.5 times fewer measurements relative to a static information-optimal design.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2013
PublisherOptical Society of America
ISBN (Print)9781557529756
StatePublished - Jan 1 2013
EventComputational Optical Sensing and Imaging, COSI 2013 - Arlington, VA, United States
Duration: Jun 23 2013Jun 27 2013

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherComputational Optical Sensing and Imaging, COSI 2013
CountryUnited States
CityArlington, VA
Period6/23/136/27/13

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ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Cite this

Huang, L. C., Ashok, A., & Neifeld, M. (2013). Information optimal adaptive measurement design for compressive imaging. In Computational Optical Sensing and Imaging, COSI 2013 (Optics InfoBase Conference Papers). Optical Society of America.