Compressive digital holography for reconstruction of partially occluded objects

Adrian Stern, Yair Rivenson, Joseph Rosen

Research output: Contribution to conferencePaperpeer-review

Abstract

Several researches have demonstrated that partially occluded objects may be imaged with help of 3-D imaging systems. Here, we formulate the partially occluded object recovery problem as a compressive sensing problem, where the sensing mechanism is based on the Fresnel transform that can be acquired by various holographic recording techniques. We show that a high resolution object can be reconstructed from its single hologram and discuss the influence of the occluding environment's structure on the object's reconstruction fidelity.

Original languageEnglish GB
DOIs
StatePublished - 1 Dec 2012
Event2012 11th Euro-American Workshop on Information Optics, WIO 2012 - Quebec City, QC, Canada
Duration: 20 Aug 201224 Aug 2012

Conference

Conference2012 11th Euro-American Workshop on Information Optics, WIO 2012
Country/TerritoryCanada
CityQuebec City, QC
Period20/08/1224/08/12

Keywords

  • compressive imaging
  • compressive sensing
  • computaional imaging
  • holography

ASJC Scopus subject areas

  • Information Systems
  • Electronic, Optical and Magnetic Materials

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