JOURNAL ARTICLE

Satellite image compression based on fractal theory

Yiming ZhouPinxiong LiuYumin Huang

Year: 2009 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 7651 Pages: 765109-765109   Publisher: SPIE

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.

Keywords:
Fractal compression Fractal transform Fractal Computer science Data compression Image compression Satellite Computer vision Compression ratio Algorithm Texture compression Coding (social sciences) Artificial intelligence Image (mathematics) Remote sensing Image processing Mathematics Geology Engineering

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Topics

Computational Physics and Python Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Mathematical Dynamics and Fractals
Physical Sciences →  Mathematics →  Mathematical Physics
Chaos-based Image/Signal Encryption
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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