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Proceedings Paper

Satellite image compression based on fractal theory
Author(s): Yiming Zhou; Pinxiong Liu; Yumin Huang
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Paper Abstract

Fractal image coding algorithm is a promising technique to improve the storage efficiency for satellite applications, and it can obtain good reconstructed quality with very high compression ratio in contrast with other image compression methods. In this paper, a fractal coding algorithm for satellite image compression is proposed. The framework of this algorithm is simple, so that it can be designed for hardware and applied on satellite conveniently. In addition, some improved methods are also introduced in this paper.

Paper Details

Date Published: 2 April 2010
PDF: 7 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 765109 (2 April 2010); doi: 10.1117/12.855429
Show Author Affiliations
Yiming Zhou, China Academy of Space Technology (China)
Pinxiong Liu, China Academy of Space Technology (China)
Yumin Huang, China Academy of Space 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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