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 publicationFourier Transform Spectroscopy, FTS 2013
StatePublished - Dec 1 2013
EventFourier Transform Spectroscopy, FTS 2013 - Arlington, VA, United States
Duration: Jun 23 2013Jun 24 2013

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherFourier Transform Spectroscopy, FTS 2013
CountryUnited States
CityArlington, VA
Period6/23/136/24/13

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Fingerprint Dive into the research topics of 'Information optimal adaptive measurement design for compressive imaging'. Together they form a unique fingerprint.

  • Cite this

    Huang, L. C., Ashok, A., & Neifeld, M. (2013). Information optimal adaptive measurement design for compressive imaging. In Fourier Transform Spectroscopy, FTS 2013 (Optics InfoBase Conference Papers).