DocumentCode
1992364
Title
Genetic fractal image compression
Author
Gafour, A. ; Faraoun, K. ; Lehireche, A.
Author_Institution
Dept. of Comput. Sci., Univ. Djilali Liabes, Sidi Bel Abbes, Algeria
fYear
2003
fDate
14-18 July 2003
Firstpage
132
Abstract
Summary form only given. The fractal image compression problem put forward three major requirements: speeding up the compression algorithm, improving image quality or increasing compression ratio. Major variants of the standard algorithm were proposed to speed up computation time. But most of them lead to a bad image quality, or a lower compression ratio. We present an implementation based on genetic algorithms. The main goal is to accelerate image compression without significant loss of image quality and with an acceptable compression rate. Results prove that genetic compression is a good choice.
Keywords
computational complexity; data compression; fractals; genetic algorithms; image coding; image enhancement; GA; compression algorithm; compression rate; fractal image compression; genetic algorithm; genetic compression; image quality; standard algorithm; Acceleration; Compression algorithms; Computer science; Fractals; Genetic algorithms; Image coding; Image quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications, 2003. Book of Abstracts. ACS/IEEE International Conference on
Conference_Location
Tunis, Tunisia
Print_ISBN
0-7803-7983-7
Type
conf
DOI
10.1109/AICCSA.2003.1227564
Filename
1227564
Link To Document