Compressive sensing approach for reducing the number of exposures in multiple view projection holography

Yair Rivenson; Adrian Stern; Joseph Rosen

Compressive sensing approach for reducing the number of exposures in multiple view projection holography

Yair Rivenson, Adrian Stern, Joseph Rosen

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Compressive imaging enables the reconstruction of images from far fewer number of measurements predicted by classical sampling theorem. Here we demonstrate how this approach can dramatically reduce the number of exposures in multi-view projection holography.

Original language	English
Journal	Optics InfoBase Conference Papers
State	Published - 1 Dec 2010
Event	Frontiers in Optics, FiO 2010 - Rochester, NY, United States Duration: 24 Oct 2010 → 28 Oct 2010

ASJC Scopus subject areas

Instrumentation
Atomic and Molecular Physics, and Optics

Cite this

@article{d060e8f53a1246bc93ebe219f82261fd,

title = "Compressive sensing approach for reducing the number of exposures in multiple view projection holography",

abstract = "Compressive imaging enables the reconstruction of images from far fewer number of measurements predicted by classical sampling theorem. Here we demonstrate how this approach can dramatically reduce the number of exposures in multi-view projection holography.",

author = "Yair Rivenson and Adrian Stern and Joseph Rosen",

year = "2010",

month = dec,

day = "1",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

note = "Frontiers in Optics, FiO 2010 ; Conference date: 24-10-2010 Through 28-10-2010",

}

TY - JOUR

T1 - Compressive sensing approach for reducing the number of exposures in multiple view projection holography

AU - Rivenson, Yair

AU - Stern, Adrian

AU - Rosen, Joseph

PY - 2010/12/1

Y1 - 2010/12/1

N2 - Compressive imaging enables the reconstruction of images from far fewer number of measurements predicted by classical sampling theorem. Here we demonstrate how this approach can dramatically reduce the number of exposures in multi-view projection holography.

AB - Compressive imaging enables the reconstruction of images from far fewer number of measurements predicted by classical sampling theorem. Here we demonstrate how this approach can dramatically reduce the number of exposures in multi-view projection holography.

UR - http://www.scopus.com/inward/record.url?scp=84897687536&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84897687536

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

T2 - Frontiers in Optics, FiO 2010

Y2 - 24 October 2010 through 28 October 2010

ER -

Compressive sensing approach for reducing the number of exposures in multiple view projection holography

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this