Information optimal static measurement design for compressive imaging

Amit Ashok, Liang Chih Huang, Mark A. Neifeld

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

7 Scopus citations

Abstract

We present an information-theoretic framework for measurement basis design problem in compressive imaging. Simulation results show that the reconstruction error obtained with the information-optimal projections is more than an order of magnitude lower than what is achievable with random projections.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2012
PagesCTu3B.3
StatePublished - Dec 1 2012
EventComputational Optical Sensing and Imaging, COSI 2012 - Monterey, CA, United States
Duration: Jun 24 2012Jun 28 2012

Publication series

NameComputational Optical Sensing and Imaging, COSI 2012

Other

OtherComputational Optical Sensing and Imaging, COSI 2012
CountryUnited States
CityMonterey, CA
Period6/24/126/28/12

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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    Ashok, A., Huang, L. C., & Neifeld, M. A. (2012). Information optimal static measurement design for compressive imaging. In Computational Optical Sensing and Imaging, COSI 2012 (pp. CTu3B.3). (Computational Optical Sensing and Imaging, COSI 2012).