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 publicationAdaptive Optics
Subtitle of host publicationMethods, Analysis and Applications, AO 2013
PublisherOptica Publishing Group (formerly OSA)
ISBN (Electronic)9781557529756
StatePublished - 2013
EventAdaptive Optics: Methods, Analysis and Applications, AO 2013 - Arlington, United States
Duration: Jun 23 2013Jun 27 2013

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

ConferenceAdaptive Optics: Methods, Analysis and Applications, AO 2013
Country/TerritoryUnited States
CityArlington
Period6/23/136/27/13

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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