Binary sensing matrix design for compressive imaging measurements

Jun Ke, Ping Wei, Edmund Y. Lam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We design a binary sensing matrix in compressive imaging to reduce the capture time while maintaining image reconstruction performance, by minimizing the distance between the binary matrix and a modified principal component analysis sensing matrix.

Original languageEnglish
Title of host publicationImaging and Applied Optics - Signal Recovery and Synthesis, SRS 2014
PublisherOptical Society of America (OSA)
ISBN (Print)9781557523082, 9781557523082
DOIs
Publication statusPublished - 2014
EventSignal Recovery and Synthesis, SRS 2014 - Seattle, WA, United States
Duration: 13 Jul 201417 Jul 2014

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

ConferenceSignal Recovery and Synthesis, SRS 2014
Country/TerritoryUnited States
CitySeattle, WA
Period13/07/1417/07/14

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