• DocumentCode
    965934
  • Title

    A Novel Approach of Reordering Color Palette for Indexed Image Compression

  • Author

    Lai, Jim Z C ; Liaw, Yi-Ching

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Taiwan Ocean Univ., Keelung
  • Volume
    14
  • Issue
    2
  • fYear
    2007
  • Firstpage
    117
  • Lastpage
    120
  • Abstract
    The compression efficiency of an indexed image depends on the palette ordering. However, obtaining an optimal palette ordering is not an easy task, and approximate solutions are usually sought in practice. Among the available methods, the pairwise merging technique proposed by Memon is the best in terms of compression efficiency. However, this method needs extensive computations. In this letter, a novel algorithm is presented to find an approximate solution of the palette reordering problem. Combined with Pinho´s method, our approach is better than the pairwise merging technique in terms of compression efficiency and computing time
  • Keywords
    approximation theory; data compression; image coding; image colour analysis; indexing; Pinho´s method; approximate solution; indexed image compression; pairwise merging technique; reordering color palette; Color; Computational complexity; Computational modeling; Computer science; Entropy; Image coding; Indexing; Merging; Pixel; Simulated annealing; Color palette; indexed image; lossless compression; palette reordering;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2006.882106
  • Filename
    4063359