Compressive sensing techniques in holography

Yair Rivenson; Adrian Stern

doi:10.1109/WIO.2011.5981451

Compressive sensing techniques in holography

Yair Rivenson, Adrian Stern

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Applying compressive sensing theory for holography comes natural since holographic imaging is inherently a compressive process that encodes 3D data in 2D images. We give examples of application of compressive sensing for coherent and incoherent holography. We also present some practical guidelines for application of compressive sensing theory in holography.

Original language	English
Title of host publication	2011 10th Workshop on Information Optics, WIO 2011
DOIs	https://doi.org/10.1109/WIO.2011.5981451
State	Published - 12 Sep 2011
Event	2011 10th Workshop on Information Optics, WIO 2011 - Benicassim, Spain Duration: 19 Jun 2011 → 24 Jun 2011

Publication series

Name	2011 10th Workshop on Information Optics, WIO 2011

Conference

Conference	2011 10th Workshop on Information Optics, WIO 2011
Country/Territory	Spain
City	Benicassim
Period	19/06/11 → 24/06/11

Keywords

Compressive Sensing
Holography

ASJC Scopus subject areas

Information Systems
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/WIO.2011.5981451

Cite this

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title = "Compressive sensing techniques in holography",

abstract = "Applying compressive sensing theory for holography comes natural since holographic imaging is inherently a compressive process that encodes 3D data in 2D images. We give examples of application of compressive sensing for coherent and incoherent holography. We also present some practical guidelines for application of compressive sensing theory in holography.",

keywords = "Compressive Sensing, Holography",

author = "Yair Rivenson and Adrian Stern",

year = "2011",

month = sep,

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AU - Stern, Adrian

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N2 - Applying compressive sensing theory for holography comes natural since holographic imaging is inherently a compressive process that encodes 3D data in 2D images. We give examples of application of compressive sensing for coherent and incoherent holography. We also present some practical guidelines for application of compressive sensing theory in holography.

AB - Applying compressive sensing theory for holography comes natural since holographic imaging is inherently a compressive process that encodes 3D data in 2D images. We give examples of application of compressive sensing for coherent and incoherent holography. We also present some practical guidelines for application of compressive sensing theory in holography.

KW - Compressive Sensing

KW - Holography

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U2 - 10.1109/WIO.2011.5981451

DO - 10.1109/WIO.2011.5981451

M3 - Conference contribution

AN - SCOPUS:80052498706

SN - 9781457712241

T3 - 2011 10th Workshop on Information Optics, WIO 2011

BT - 2011 10th Workshop on Information Optics, WIO 2011

T2 - 2011 10th Workshop on Information Optics, WIO 2011

Y2 - 19 June 2011 through 24 June 2011

ER -

Compressive sensing techniques in holography

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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