Adaptive compressive sensing with multiscale hadamard patterns

Vladislav Kravets; Adrian Stern

doi:10.1364/COSI.2019.JW2A.21

Adaptive compressive sensing with multiscale hadamard patterns

Vladislav Kravets, Adrian Stern

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

Abstract

We introduce an efficient adaptive compressive sensing technique that utilizes the zerotrees concept. The method uses multiscale ordered Hadamard sampling and its relation to the Haar wavelet, therefore is particularly useful for single pixel imaging.

Original language	English
Title of host publication	Computational Optical Sensing and Imaging, COSI 2019
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580637
DOIs	https://doi.org/10.1364/COSI.2019.JW2A.21
State	Published - 1 Jan 2019
Event	Computational Optical Sensing and Imaging, COSI 2019 - Munich, Germany Duration: 24 Jun 2019 → 27 Jun 2019

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F170-COSI 2019
ISSN (Electronic)	2162-2701

Conference

Conference	Computational Optical Sensing and Imaging, COSI 2019
Country/Territory	Germany
City	Munich
Period	24/06/19 → 27/06/19

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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10.1364/COSI.2019.JW2A.21

Cite this

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title = "Adaptive compressive sensing with multiscale hadamard patterns",

abstract = "We introduce an efficient adaptive compressive sensing technique that utilizes the zerotrees concept. The method uses multiscale ordered Hadamard sampling and its relation to the Haar wavelet, therefore is particularly useful for single pixel imaging.",

author = "Vladislav Kravets and Adrian Stern",

note = "Publisher Copyright: {\textcopyright} OSA 2019 {\textcopyright} 2019 The Author(s); Computational Optical Sensing and Imaging, COSI 2019 ; Conference date: 24-06-2019 Through 27-06-2019",

year = "2019",

month = jan,

day = "1",

doi = "10.1364/COSI.2019.JW2A.21",

language = "English",

isbn = "9781943580637",

series = "Optics InfoBase Conference Papers",

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booktitle = "Computational Optical Sensing and Imaging, COSI 2019",

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Kravets, V & Stern, A 2019, Adaptive compressive sensing with multiscale hadamard patterns. in Computational Optical Sensing and Imaging, COSI 2019. Optics InfoBase Conference Papers, vol. Part F170-COSI 2019, Optica Publishing Group (formerly OSA), Computational Optical Sensing and Imaging, COSI 2019, Munich, Germany, 24/06/19. https://doi.org/10.1364/COSI.2019.JW2A.21

TY - GEN

T1 - Adaptive compressive sensing with multiscale hadamard patterns

AU - Kravets, Vladislav

AU - Stern, Adrian

PY - 2019/1/1

Y1 - 2019/1/1

N2 - We introduce an efficient adaptive compressive sensing technique that utilizes the zerotrees concept. The method uses multiscale ordered Hadamard sampling and its relation to the Haar wavelet, therefore is particularly useful for single pixel imaging.

AB - We introduce an efficient adaptive compressive sensing technique that utilizes the zerotrees concept. The method uses multiscale ordered Hadamard sampling and its relation to the Haar wavelet, therefore is particularly useful for single pixel imaging.

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U2 - 10.1364/COSI.2019.JW2A.21

DO - 10.1364/COSI.2019.JW2A.21

M3 - Conference contribution

AN - SCOPUS:85089911104

SN - 9781943580637

T3 - Optics InfoBase Conference Papers

BT - Computational Optical Sensing and Imaging, COSI 2019

PB - Optica Publishing Group (formerly OSA)

T2 - Computational Optical Sensing and Imaging, COSI 2019

Y2 - 24 June 2019 through 27 June 2019

ER -

Adaptive compressive sensing with multiscale hadamard patterns

Abstract

Publication series

Conference

ASJC Scopus subject areas

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