• DocumentCode
    532448
  • Title

    The application of a modified GA in fractal image coding

  • Author

    Yu, Sun ; Chunlian, Li

  • Author_Institution
    Inst. of Special Educ., Changchun Univ., Changchun, China
  • Volume
    2
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    A modified genetic algorithm with search space narrowing down is presented. The proposed GA has been proved good performance in both the numerical examples and the molecular docking. As a further application, it is used to deal with the fractal image coding to overcome its long block matching time of traditional fractal image coding. This paper uses the improved algorithm´s optimal solution search capabilities to replace the complex process of block matching in fractal image coding. Combined with the constraints of contrast factor, this method can limit the search space and reduce the coding time. Experimental results show that compared with the other genetic method, the proposed algorithm can speed up the coding process, while improving the image quality.
  • Keywords
    fractals; genetic algorithms; image coding; image matching; search problems; block matching; complex process; fractal image coding; genetic method; image quality; modified genetic algorithm; molecular docking; optimal solution; search space; Convergence; Fractals; Image resolution; Genetic Algorithm; fractal image coding; narrowing down space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620552
  • Filename
    5620552