Information optimal adaptive measurement design for compressive imaging

Liang Chih Huang, Amit Ashok, Mark Neifeld

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


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 publicationQuantitative Medical Imaging, QMI 2013
StatePublished - 2013
EventQuantitative Medical Imaging, QMI 2013 - Arlington, VA, United States
Duration: Jun 23 2013Jul 27 2013

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701


OtherQuantitative Medical Imaging, QMI 2013
Country/TerritoryUnited States
CityArlington, VA

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics


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