Translator Disclaimer
Paper
25 September 1998 Fractal image coding method based on genetic algorithms
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
4 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Wavelet-based fractal image compression
Proceedings of SPIE (September 25 2003)
Evolutionary algorithm for compression of gray-scale images
Proceedings of SPIE (September 25 2001)
Genetic algorithms for fast search in fractal image coding
Proceedings of SPIE (February 27 1996)
Block matching algorithm using a genetic algorithm
Proceedings of SPIE (April 21 1995)
Wavelet-transform-based fast fractal video coding
Proceedings of SPIE (September 25 1998)

Back to Top