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Proceedings Paper

Bit assignment optimization for ROI of CCSDS image compression standards based on DWT
Author(s): Jiayan Zhang; Honglin Zhao; Jing Ma; Yang Cui
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Paper Abstract

In deep space exploration, image compression plays an important role in maximizing returned scientific data. CCSDS adopts the methods based on Discrete Wavelet Transformation as the image compression standards because of its high compression ratio, progressive transmission and supporting lossless compressing. According to its feature, a new image compression scheme - Region of Interest encoding is presented for balancing the initial image acquiring rate, buffer size and data transmission rate on spacecraft in deep space communication. It is performed by which ROI is assigned with lower compression ratio, more storage space, and higher transmission priority. Thus it could be attained the goal of acquired image in deep space communication-maximizing information returning to the ground. And an optimized bit allocation method between ROI and Non-ROI is proposed according to rate-distortion model that is fit for progressive wavelet coding rate and distortion. Based on taking 2-level priority as an example, an optimized bit allocation method between ROI and Non-ROI is discussed. Simulation results show that the performance of the scheme is satisfying.

Paper Details

Date Published: 2 April 2010
PDF: 7 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76510Q (2 April 2010); doi: 10.1117/12.855404
Show Author Affiliations
Jiayan Zhang, Harbin Institute of Technology (China)
Honglin Zhao, Harbin Institute of Technology (China)
Jing Ma, Harbin Institute of Technology (China)
Yang Cui, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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