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The New CCSDS Standard for Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression

Authors :
Kiely, Aaron B
Klimesh, Matthew
Blanes, Ian
Ligo, Jonathan
Magli, Enrico
Aranki, Nazeeh
Burl, Michael
Camarero, Roberto
Cheng, Michael
Dolinar, Sam
Dolman, David
Flesch, Greg
Ghassemi, Hamid
Gilbert, Martin
Hernández-Cabronero, Miguel
Keymeulen, Didier
Le, Martin
Luong, Huy
McGuinness, Christopher
Moury, Gilles
Pham, Thang
Plintovic, Martin
Sala, Frederic
Santos, Lucana
Schaar, Alan
Serra-Sagrist, Joan
Shin, Simon
Sundlie, Brenton
Valsesia, Diego
Vitulli, Raffaele
Wong, Englin
Wu, William
Xie, Hua
Zhou, Hanying
Publication Year :
2018
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2018.

Abstract

This paper describes the emerging Issue 2 of the CCSDS-123.0-B standard for low-complexity compression of multispectral and hyperspectral imagery, focusing on its new features and capabilities. Most significantly, this new issue incorporates a closed-loop quantization scheme to provide near-lossless compression capability while still supporting lossless compression, and introduces a new entropy coding option that provides better compression of low-entropy data.

Subjects

Subjects :
Computer Programming And Software

Details

Language :
English
Database :
NASA Technical Reports
Publication Type :
Report
Accession number :
edsnas.20180006784
Document Type :
Report