Satellite image compression based on fractal theory

Yiming Zhou; Pinxiong Liu; Yumin Huang

doi:10.1117/12.855429

2 April 2010 Satellite image compression based on fractal theory

Yiming Zhou, Pinxiong Liu, Yumin Huang

Proceedings Volume 7651, International Conference on Space Information Technology 2009; 765109 (2010) https://doi.org/10.1117/12.855429
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China

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.

Citation Download Citation

Yiming Zhou, Pinxiong Liu, and Yumin Huang "Satellite image compression based on fractal theory", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 765109 (2 April 2010); https://doi.org/10.1117/12.855429

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