Measurement Quantization and Rate Allocation in Compressive Imaging and Image Compression

Yuzhang Lin, Amit Ashok

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

Abstract

We present an analysis of measurement quantization and rate allocation problems in compressive imaging and quantify its impact on image formation. Compressive imaging is compared with traditional image compression with respect to measurement data size.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2015
PublisherOptica Publishing Group (formerly OSA)
ISBN (Electronic)9781557528209
StatePublished - 2015
EventComputational Optical Sensing and Imaging, COSI 2015 - Arlington, United States
Duration: Jun 7 2015Jun 11 2015

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2015
Country/TerritoryUnited States
CityArlington
Period6/7/156/11/15

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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