Compression Ratio Design in Compressive Spectral Imaging

Jeison Marin; Leonardo Betancur; Henry Arguello

doi:10.1109/DCC.2016.81

Compression Ratio Design in Compressive Spectral Imaging

Jeison Marin
, Leonardo Betancur
, Henry Arguello

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

1 Scopus citations

Abstract

In this work, a compression strategy for Focal Plane Array Measurements (FPA-M) in Compressive Spectral Imaging (CSI) is presented. The strategy is applied to four CSI architectures. The implementation consists of two stages: transformation and coding. The transformation stage is performed according to the FPA-M structure. Finally, an arithmetic coding is applied.

Original language	English
Title of host publication	Proceedings - DCC 2016
Subtitle of host publication	2016 Data Compression Conference
Editors	Michael W. Marcellin, Ali Bilgin, Joan Serra-Sagrista, James A. Storer
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	619
Number of pages	1
ISBN (Electronic)	9781509018536
DOIs	https://doi.org/10.1109/DCC.2016.81
State	Published - 15 Dec 2016
Event	2016 Data Compression Conference, DCC 2016 - Snowbird, United States Duration: 29 Mar 2016 → 1 Apr 2016

Publication series

Name	Data Compression Conference Proceedings
ISSN (Print)	1068-0314

Conference

Conference	2016 Data Compression Conference, DCC 2016
Country/Territory	United States
City	Snowbird
Period	29/03/16 → 1/04/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/DCC.2016.81

Cite this

Marin, J., Betancur, L., & Arguello, H. (2016). Compression Ratio Design in Compressive Spectral Imaging. In M. W. Marcellin, A. Bilgin, J. Serra-Sagrista, & J. A. Storer (Eds.), Proceedings - DCC 2016: 2016 Data Compression Conference (pp. 619). Article 7786243 (Data Compression Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCC.2016.81

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title = "Compression Ratio Design in Compressive Spectral Imaging",

abstract = "In this work, a compression strategy for Focal Plane Array Measurements (FPA-M) in Compressive Spectral Imaging (CSI) is presented. The strategy is applied to four CSI architectures. The implementation consists of two stages: transformation and coding. The transformation stage is performed according to the FPA-M structure. Finally, an arithmetic coding is applied.",

author = "Jeison Marin and Leonardo Betancur and Henry Arguello",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 Data Compression Conference, DCC 2016 ; Conference date: 29-03-2016 Through 01-04-2016",

year = "2016",

month = dec,

day = "15",

doi = "10.1109/DCC.2016.81",

language = "Ingl{\'e}s",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Marin, J, Betancur, L & Arguello, H 2016, Compression Ratio Design in Compressive Spectral Imaging. in MW Marcellin, A Bilgin, J Serra-Sagrista & JA Storer (eds), Proceedings - DCC 2016: 2016 Data Compression Conference., 7786243, Data Compression Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 619, 2016 Data Compression Conference, DCC 2016, Snowbird, United States, 29/03/16. https://doi.org/10.1109/DCC.2016.81

Compression Ratio Design in Compressive Spectral Imaging. / Marin, Jeison; Betancur, Leonardo; Arguello, Henry.
Proceedings - DCC 2016: 2016 Data Compression Conference. ed. / Michael W. Marcellin; Ali Bilgin; Joan Serra-Sagrista; James A. Storer. Institute of Electrical and Electronics Engineers Inc., 2016. p. 619 7786243 (Data Compression Conference Proceedings).

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

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AU - Marin, Jeison

AU - Betancur, Leonardo

AU - Arguello, Henry

PY - 2016/12/15

Y1 - 2016/12/15

N2 - In this work, a compression strategy for Focal Plane Array Measurements (FPA-M) in Compressive Spectral Imaging (CSI) is presented. The strategy is applied to four CSI architectures. The implementation consists of two stages: transformation and coding. The transformation stage is performed according to the FPA-M structure. Finally, an arithmetic coding is applied.

AB - In this work, a compression strategy for Focal Plane Array Measurements (FPA-M) in Compressive Spectral Imaging (CSI) is presented. The strategy is applied to four CSI architectures. The implementation consists of two stages: transformation and coding. The transformation stage is performed according to the FPA-M structure. Finally, an arithmetic coding is applied.

UR - https://www.scopus.com/pages/publications/85010041621

U2 - 10.1109/DCC.2016.81

DO - 10.1109/DCC.2016.81

M3 - Ponencia publicada en las memorias del evento con ISBN

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BT - Proceedings - DCC 2016

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A2 - Bilgin, Ali

A2 - Serra-Sagrista, Joan

A2 - Storer, James A.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 Data Compression Conference, DCC 2016

Y2 - 29 March 2016 through 1 April 2016

ER -

Compression Ratio Design in Compressive Spectral Imaging

Abstract

Publication series

Conference

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