• DocumentCode
    1121757
  • Title

    Color quantization of images

  • Author

    Orchard, Michael T. ; Bouman, Charles A.

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., NJ, USA
  • Volume
    39
  • Issue
    12
  • fYear
    1991
  • fDate
    12/1/1991 12:00:00 AM
  • Firstpage
    2677
  • Lastpage
    2690
  • Abstract
    The authors develop algorithms for the design of hierarchical tree structured color palettes incorporating performance criteria which reflect subjective evaluations of image quality. Tree structured color palettes greatly reduce the computational requirements of the palette design and pixel mapping tasks, while allowing colors to be properly allocated to densely populated areas of the color space. The algorithms produce higher-quality displayed images and require fewer computations than previously proposed methods. Error diffusion techniques are commonly used for displaying images which have been quantized to very few levels. Problems related to the application of error diffusion techniques to the display of color images are discussed. A modified error diffusion technique is shown to be easily implemented using the tree structured color palettes developed earlier
  • Keywords
    data compression; picture processing; algorithms; colour quantization; error diffusion techniques; hierarchical tree structured color palettes; image quality; image quantisation; palette design; pixel mapping; subjective evaluations; Algorithm design and analysis; Color; Computer displays; Costs; Image quality; Image resolution; Intensity modulation; Laboratories; Pixel; Quantization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.107417
  • Filename
    107417