• DocumentCode
    2922243
  • Title

    Sample selection in subband vector quantization

  • Author

    Fadzil, M. Ahmad ; Dennis, T.

  • Author_Institution
    Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
  • fYear
    1990
  • fDate
    3-6 Apr 1990
  • Firstpage
    2085
  • Abstract
    A sample selection procedure for a subband vector-quantization (VQ) interframe predictive coder incorporating short-kernel subband filter banks is presented. The coder is based on two-dimensional subband decomposition of the error image obtained after motion-compensated interframe prediction (MCIP). The luminance and chrominance subbands, generated after the decomposition process, form image vectors which are then quantized using conventional vector quantization. By using the sample selection procedure, selective quantization of the image vectors can be carried out with minimal distortion introduced into the reconstructed images. Any major spatial redundancies in the MCIP error image are exploited to achieve the low output bit rate desired
  • Keywords
    encoding; filtering and prediction theory; picture processing; signal synthesis; chrominance subbands; error image; image vectors; interframe predictive coder; luminance subbands; motion-compensated interframe prediction; sample selection procedure; short-kernel subband filter banks; subband vector quantization; Band pass filters; Bit rate; Degradation; Discrete cosine transforms; Distortion measurement; Filter bank; Image analysis; Image coding; Image reconstruction; Redundancy; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1990.115942
  • Filename
    115942