Special Section on Advances in Onboard Payload Data Compression

Discrete wavelet transform fully adaptive prediction error coder: image data compression based on CCSDS 122.0 and fully adaptive prediction error coder

[+] Author Affiliations
Gabriel Artigues

Institut d’Estudis Espacials de Catalunya, c/Gran Capità 2-4, 08034 Barcelona, Spain

Institut de Ciències de l’Espai (CSIC), Facultat de Ciències, Campus UAB, Torre C5-parell, 08193 Bellaterra, Spain

Jordi Portell

Institut d’Estudis Espacials de Catalunya, c/Gran Capità 2-4, 08034 Barcelona, Spain

Universitat de Barcelona, Departament d’Astronomia i Meteorologia, c/Martí i Franquès 1, 08028 Barcelona, Spain

Alberto G. Villafranca

Star-Dundee Ltd., STAR House, 166 Nethergate, Dundee, DD1 4EE, United Kingdom

Hamed Ahmadloo, Enrique García-Berro

Institut d’Estudis Espacials de Catalunya, c/Gran Capità 2-4, 08034 Barcelona, Spain

Universitat Politècnica de Catalunya, Departament de Física Aplicada, c/Esteve Terrades 5, 08860 Castelldefels, Spain

J. Appl. Remote Sens. 7(1), 074592 (Aug 01, 2013). doi:10.1117/1.JRS.7.074592
History: Received January 8, 2013; Revised June 30, 2013; Accepted July 3, 2013
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Abstract.  The Consultative Committee for Space Data Systems (CCSDS) 122.0 recommendation defines a particular image data compression algorithm for space. It is based on a discrete wavelet transform (DWT) algorithm followed by bit-plane encoder stage (BPE) based on Rice codes. The low complexity and memory efficiency of the algorithm makes it suitable for use onboard a spacecraft. On the other hand, fully adaptive prediction error coder (FAPEC) is a quick entropy coder aimed to achieve excellent compression ratios under almost any situation, including large fractions of outliers in the data and large sample sizes. A new image compression solution based on the DWT stage of the CCSDS 122.0 recommendation is presented, followed by our FAPEC entropy coder, thus removing the BPE stage. The purpose is to obtain a low-complexity algorithm for image compression able to provide similar or even better compression ratios than those obtained using the CCSDS 122.0 recommendation. A prototype of DWTFAPEC, the combination of the DWT stage with FAPEC, is presented here. Its lossless operation, as well as the results with a first lossy option with selectable quality using a wide variety of images, including the official CCSDS 122.0 image corpus as well as several astronomical and ground images, is tested. The results are satisfactory, achieving significantly better compression times. The lossless ratios are very close to those of the standard, while the lossy ratios are higher (for the same level of quality loss). Thus, DWTFAPEC can be used as an alternative to CCSDS 122.0 standard for space missions.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Gabriel Artigues ; Jordi Portell ; Alberto G. Villafranca ; Hamed Ahmadloo and Enrique García-Berro
"Discrete wavelet transform fully adaptive prediction error coder: image data compression based on CCSDS 122.0 and fully adaptive prediction error coder", J. Appl. Remote Sens. 7(1), 074592 (Aug 01, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.074592


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