Fractal image coding method based on genetic algorithms

Xiao Chen; Guang-Xi Zhu; Yaoting Zhu

doi:10.1117/12.323609

25 September 1998 Fractal image coding method based on genetic algorithms

Xiao Chen, Guang-Xi Zhu, Yaoting Zhu

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323609
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

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.

Citation Download Citation

Xiao Chen, Guang-Xi Zhu, and Yaoting Zhu "Fractal image coding method based on genetic algorithms", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323609

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