• DocumentCode
    1871470
  • Title

    An evolutionary approach to color image quantization

  • Author

    Freisleben, Bernd ; Schrader, Andreas

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Siegen Univ., Germany
  • fYear
    1997
  • fDate
    13-16 Apr 1997
  • Firstpage
    459
  • Lastpage
    464
  • Abstract
    In order to visualize true color images on graphic displays with reduced color resolution, a color quantization process is required. Since color quantization is an NP-hard optimization problem, several suboptimal heuristic approaches, with quite different objectives and results, have been proposed. We present a new hybrid approach in which an evolutionary algorithm is combined with a well-known local search heuristic. The superiority of the proposed approach to other strategies used in color quantization is demonstrated by presenting results for some test images
  • Keywords
    data compression; genetic algorithms; heuristic programming; image coding; image colour analysis; image resolution; search problems; NP-hard optimization problem; color image quantization; color image visualization; evolutionary approach; graphic displays; hybrid approach; local search heuristic; reduced color resolution; suboptimal heuristic approaches; test images; Color; Evolutionary computation; Hardware; Image coding; Image resolution; Image storage; Pixel; Quantization; Testing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1997., IEEE International Conference on
  • Conference_Location
    Indianapolis, IN
  • Print_ISBN
    0-7803-3949-5
  • Type

    conf

  • DOI
    10.1109/ICEC.1997.592355
  • Filename
    592355