Compressive Fresnel holography

Yair Rivenson, Adrian Stern, Bahram Javidi

    Research output: Contribution to journalArticlepeer-review

    174 Scopus citations

    Abstract

    Compressive sensing is a relatively new measurement paradigm which seeks to capture the essential aspects of a high-dimensional object using as few measurements as possible. In this work we demonstrate successful application of compressive sensing framework to digital Fresnel holography. It is shown that when applying compressive sensing approach to Fresnel fields a special sampling scheme should be adopted for improved results.

    Original languageEnglish
    Article number5457986
    Pages (from-to)506-509
    Number of pages4
    JournalIEEE/OSA Journal of Display Technology
    Volume6
    Issue number10
    DOIs
    StatePublished - 4 May 2010

    Keywords

    • Compressive imaging
    • Fresnel digital holography
    • variable density sampling

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Electrical and Electronic Engineering

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