• DocumentCode
    293082
  • Title

    Image coding using vector filter bank and vector quantization

  • Author

    Wus, John ; Li, Weiping ; Zhang, Ya-Qin

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    30 May-2 Jun 1994
  • Firstpage
    133
  • Abstract
    Subband coding has proven to be a very effective technique when used for image compression purposes. In this paper, the concept of Vector Filter Bank (VFB), which extends the conventional Scalar Filter Bank (SFB) to the vector case, is introduced. A new image coding algorithm, called Vector Subband Coding (VSC), is proposed. Detailed vector formation, filtering processes, vector codebook generation, vector encoding and decoding are examined. Finally, the test results are presented
  • Keywords
    image coding; vector quantisation; filtering processes; image coding; image compression; subband coding; vector codebook generation; vector decoding; vector encoding; vector filter bank; vector formation; vector quantization; vector subband coding; Channel bank filters; Decoding; Decorrelation; Filter bank; Filtering; Image coding; PSNR; Pixel; Testing; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
  • Conference_Location
    London
  • Print_ISBN
    0-7803-1915-X
  • Type

    conf

  • DOI
    10.1109/ISCAS.1994.409122
  • Filename
    409122