• 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