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

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Proceedings - DCC 2016
Subtítulo de la publicación alojada	2016 Data Compression Conference
Editores	Michael W. Marcellin, Ali Bilgin, Joan Serra-Sagrista, James A. Storer
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	619
Número de páginas	1
ISBN (versión digital)	9781509018536
DOI	https://doi.org/10.1109/DCC.2016.81
Estado	Publicada - 15 dic. 2016
Evento	2016 Data Compression Conference, DCC 2016 - Snowbird, Estados Unidos Duración: 29 mar. 2016 → 1 abr. 2016

Serie de la publicación

Nombre	Data Compression Conference Proceedings
ISSN (versión impresa)	1068-0314

Conferencia

Conferencia	2016 Data Compression Conference, DCC 2016
País/Territorio	Estados Unidos
Ciudad	Snowbird
Período	29/03/16 → 1/04/16

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© 2016 IEEE.

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10.1109/DCC.2016.81

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Marin, J., Betancur, L., & Arguello, H. (2016). Compression Ratio Design in Compressive Spectral Imaging. En M. W. Marcellin, A. Bilgin, J. Serra-Sagrista, & J. A. Storer (Eds.), Proceedings - DCC 2016: 2016 Data Compression Conference (pp. 619). Artículo 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",

series = "Data Compression Conference Proceedings",

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

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editor = "Marcellin, \{Michael W.\} and Ali Bilgin and Joan Serra-Sagrista and Storer, \{James A.\}",

booktitle = "Proceedings - DCC 2016",

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Marin, J, Betancur, L & Arguello, H 2016, Compression Ratio Design in Compressive Spectral Imaging. En 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, Estados Unidos, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

TY - GEN

T1 - Compression Ratio Design in Compressive Spectral Imaging

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

AN - SCOPUS:85010041621

T3 - Data Compression Conference Proceedings

SP - 619

BT - Proceedings - DCC 2016

A2 - Marcellin, Michael W.

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

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