A study of the coherence parameter of the progressive compressive imager based on Radon transform

Vladimir Farber, Elman Eduard, Yair Rivenson, Adrian Stern

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

    2 Scopus citations

    Abstract

    We have recently introduced a progressive compressing sensing method based on an appropriate sampling scheme of optical Radon projections. By choosing the sampling steps to be of the size of the golden angle new information is optimally acquired with each angular sampling step thus permitting gradual improvement of the reconstructed image. A comparison between the progressive sampling scheme with the conventional one based on uniform sampling is given in terms of their coherence parameter.

    Original languageEnglish
    Title of host publicationIndependent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI
    DOIs
    StatePublished - 9 Aug 2013
    Event2013 Conference on Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI - Baltimore, MD, United States
    Duration: 1 May 20133 May 2013

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume8750
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    Conference2013 Conference on Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI
    Country/TerritoryUnited States
    CityBaltimore, MD
    Period1/05/133/05/13

    Keywords

    • Coherence parameter
    • Compressive sensing
    • Ordered sets optimization
    • Progressive compressive imaging
    • Radon projections

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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