• DocumentCode
    1316566
  • Title

    Efficient classification and codebook design for CVQ

  • Author

    Quweider, M.K. ; Salari, E.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Toledo Univ., OH, USA
  • Volume
    143
  • Issue
    6
  • fYear
    1996
  • fDate
    12/1/1996 12:00:00 AM
  • Firstpage
    344
  • Lastpage
    352
  • Abstract
    An efficient block classification and a new codebook design algorithms for classified vector quantisation (CVQ) are presented. The classification method is particularly simple and suited for hardware or software implementation. For each nonshade block, a local threshold is computed and used to binarise the block. The binary block is then compared with a predefined set of binary edge templates to decide its nature. On the other hand, the codebook design algorithm generates the codevectors in a short time, while providing considerable computational savings. It only uses the AC energy of the training set vectors to produce the codebook and the AC energy of an input block for its encoding. Subsequently, the actual codebook does not have to be present at the transmitter end. Good quality images, as measured by subjective and objective measures, are produced at bit rates in the range 0.64-0.87 bits per pixel (bpp)
  • Keywords
    block codes; image classification; image coding; vector quantisation; AC energy; CVQ; binary block; binary edge templates; bit rates; classification; classified vector quantisation; codebook design; codevectors; local threshold; nonshade block; training set vectors;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:19960779
  • Filename
    556691