• DocumentCode
    2664987
  • Title

    Vector quantization with adaptive sampling (VQAS)

  • Author

    Crinon, Regis J. ; Luthra, Ajay

  • Author_Institution
    Tektronix Lab., Beaverton, OR, USA
  • fYear
    1990
  • fDate
    1-3 May 1990
  • Firstpage
    3126
  • Abstract
    A vector quantization (VQ) scheme combining conventional VQ and adaptive resampling is proposed. The sampling frequency is relaxed in the uniform area of the picture to provide a high degree of compression, while it is increased in the highly detailed regions of the picture so smaller blocks can be used to help reduce the annoying blocking effects which are noticeable around sharp edges. Several methods for encoding the nonuniform sampling lattice are reviewed
  • Keywords
    adaptive filters; data compression; encoding; picture processing; adaptive resampling; adaptive sampling; encoding; image processing; nonuniform sampling lattice; vector quantization; Frequency; Image coding; Image processing; Iterative algorithms; Laboratories; Pixel; Sampling methods; Signal processing; Signal sampling; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1990., IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/ISCAS.1990.112674
  • Filename
    112674