Information optimal adaptive measurement design for compressive imaging

Liang Chih Huang, Amit Ashok, Mark A 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 publicationOptics InfoBase Conference Papers
StatePublished - 2013
EventQuantitative Medical Imaging, QMI 2013 - Arlington, VA, United States
Duration: Jun 23 2013Jul 27 2013

Other

OtherQuantitative Medical Imaging, QMI 2013
CountryUnited States
CityArlington, VA
Period6/23/137/27/13

Fingerprint

Imaging techniques
Time measurement
Image sensors
time measurement
simulation
Optimal design

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Cite this

Information optimal adaptive measurement design for compressive imaging. / Huang, Liang Chih; Ashok, Amit; Neifeld, Mark A.

Optics InfoBase Conference Papers. 2013.

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

Huang, LC, Ashok, A & Neifeld, MA 2013, Information optimal adaptive measurement design for compressive imaging. in Optics InfoBase Conference Papers. Quantitative Medical Imaging, QMI 2013, Arlington, VA, United States, 6/23/13.
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