A Compressed Sensing Approach to Solving the Dynamic Range Problem in Fourier Transform Holography

Kuan He; Oliver Cossairt

A Compressed Sensing Approach to Solving the Dynamic Range Problem in Fourier Transform Holography

Kuan He, Oliver Cossairt

Computer Science

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

Abstract

We propose a reconstruction method using compressed sensing to accurately recover an image from a single hologram despite a large amount of unmeasured intensities, which allows us to overcome dynamic range limitations in the sensor.

Original language	English (US)
Title of host publication	Computational Optical Sensing and Imaging, COSI 2015
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781557528209
State	Published - 2015
Event	Computational Optical Sensing and Imaging, COSI 2015 - Arlington, United States Duration: Jun 7 2015 → Jun 11 2015

Publication series

Name	Optics InfoBase Conference Papers

Conference

Conference	Computational Optical Sensing and Imaging, COSI 2015
Country/Territory	United States
City	Arlington
Period	6/7/15 → 6/11/15

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

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title = "A Compressed Sensing Approach to Solving the Dynamic Range Problem in Fourier Transform Holography",

abstract = "We propose a reconstruction method using compressed sensing to accurately recover an image from a single hologram despite a large amount of unmeasured intensities, which allows us to overcome dynamic range limitations in the sensor.",

author = "Kuan He and Oliver Cossairt",

note = "Publisher Copyright: {\textcopyright} 2015 OSA.; Computational Optical Sensing and Imaging, COSI 2015 ; Conference date: 07-06-2015 Through 11-06-2015",

year = "2015",

language = "English (US)",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Computational Optical Sensing and Imaging, COSI 2015",

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AU - He, Kuan

AU - Cossairt, Oliver

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N2 - We propose a reconstruction method using compressed sensing to accurately recover an image from a single hologram despite a large amount of unmeasured intensities, which allows us to overcome dynamic range limitations in the sensor.

AB - We propose a reconstruction method using compressed sensing to accurately recover an image from a single hologram despite a large amount of unmeasured intensities, which allows us to overcome dynamic range limitations in the sensor.

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M3 - Conference contribution

AN - SCOPUS:85136263711

T3 - Optics InfoBase Conference Papers

BT - Computational Optical Sensing and Imaging, COSI 2015

PB - Optica Publishing Group (formerly OSA)

T2 - Computational Optical Sensing and Imaging, COSI 2015

Y2 - 7 June 2015 through 11 June 2015

ER -

A Compressed Sensing Approach to Solving the Dynamic Range Problem in Fourier Transform Holography

Abstract

Publication series

Conference

ASJC Scopus subject areas

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Cite this