Hyperspectral compressive imaging

Adrian Stern, August Yitzhak, Vladimir Farber, Yair Rivenson

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

    Abstract

    Hyperspectral imaging is a natural field for the implementation of compressive sensing because typical captured hyperspectral datacubes involve large amount of data which is also often very redundant. Compressive hypersepctral systems compress the hyperspectral data already in the acquisition step, thus remedy the severe storage and processing requirements typical to conventional hypersepctral imaging systems. In this paper we overview some hyperspectral compressive imaging techniques that we have developed.

    Original languageAmerican English
    Title of host publicationWIO 2013 - 12th Workshop on Information Optics, Proceedings
    DOIs
    StatePublished - 17 Oct 2013
    Event2013 12th Workshop on Information Optics, WIO 2013 - Tenerife, Spain
    Duration: 15 Jul 201319 Jul 2013

    Publication series

    NameWIO 2013 - 12th Workshop on Information Optics, Proceedings

    Conference

    Conference2013 12th Workshop on Information Optics, WIO 2013
    Country/TerritorySpain
    CityTenerife
    Period15/07/1319/07/13

    Keywords

    • compressed sensing
    • compressive imaging
    • compressive sensing
    • computational imaging

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications

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