• DocumentCode
    1050826
  • Title

    Interpolative vector quantization of color images

  • Author

    Hang, Hsueh-ming ; Haskell, Barry G.

  • Author_Institution
    AT&T Labs., Holmdel, NJ, USA
  • Volume
    36
  • Issue
    4
  • fYear
    1988
  • fDate
    4/1/1988 12:00:00 AM
  • Firstpage
    465
  • Lastpage
    470
  • Abstract
    Interpolative vector quantization has been devised to alleviate the visible block structure of coded images plus the sensitive codebook problems produced by a simple vector quantizer. In addition, the problem of selecting color components for color picture vector quantization is discussed. Computer simulations demonstrate the success of this coding technique for color image compression at approximately 0.3 b/pel. Some background information on vector quantization is provided
  • Keywords
    analogue-digital conversion; codes; computerised picture processing; digital simulation; encoding; interpolation; coded images; coding technique; colour images; computer simulation; image compression; interpolative vector quantisation; sensitive codebook; Codecs; Color; Computer simulation; Discrete cosine transforms; Hardware; Image coding; Image segmentation; Proposals; Speech; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.2771
  • Filename
    2771