Compressive Fresnel holography

Yair Rivenson, Adrian Stern, Bahram Javidi

Research output: Contribution to journalArticlepeer-review

169 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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