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Proceedings Paper

Fractal image coding method based on genetic algorithms
Author(s): Xiao Chen; Guang-Xi Zhu; Yaoting Zhu
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Paper Abstract

Though it promised a high compression ratio and high decompression quality, the low fractal image coding speed blocked its way to practical application. The main problem of the low coding speed is due to the long searching time of matching between domain blocks and range blocks. Genetic algorithms (GAs) are well known as a search and optimization technique based loosely on the principles of natural selection. In order to decrease the coding time, here a method is proposed that employs genetic algorithms to solve the matching problem of fractal image coding. Experimental results indicate that the introduction of GAs to fractal image coding is a good way to increase the speed of fractal image coding without decreasing the image quality obviously.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323609
Show Author Affiliations
Xiao Chen, Huazhong Univ. of Science and Technology (China)
Guang-Xi Zhu, Huazhong Univ. of Science and Technology (China)
Yaoting Zhu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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