• DocumentCode
    1148248
  • Title

    Adaptive vector quantisation of non-orthogonal representations for image compression

  • Author

    Mikhael, W.B. ; Ragothaman, P.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
  • Volume
    39
  • Issue
    2
  • fYear
    2003
  • fDate
    1/23/2003 12:00:00 AM
  • Firstpage
    200
  • Lastpage
    201
  • Abstract
    An efficient compression technique employing adaptive vector quantisation of multiple non-orthogonal transform domain representations of still images is developed. For each sub-image, the encoder selects a code from the domain that yields best representation. The performance improvement employing the proposed technique relative to existing single domain vector quantisation coding methods, for the same compression ratio, is obtained at the expense of increased computational complexity.
  • Keywords
    adaptive signal processing; computational complexity; image coding; image reconstruction; image representation; vector quantisation; adaptive vector quantisation; compression ratio; computational complexity; encoder; image compression; multiple nonorthogonal transform domain representations; nonorthogonal representations; performance improvement; reconstructed images; still images;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20030139
  • Filename
    1179516