• DocumentCode
    2651418
  • Title

    A study on the optimal attributes of transform domain vector quantization for image and video compression

  • Author

    Li, Weiping ; Zhang, Ya-Qin

  • Author_Institution
    EECS Dept., Lehigh Univ., Bethlehem, PA, USA
  • Volume
    1
  • fYear
    1993
  • fDate
    23-26 May 1993
  • Firstpage
    401
  • Abstract
    The concept of vector transform coding (VTC) is examined. It is noted that the optimal transform for the purpose of vector quantization should reduce the correlation between the transform domain vectors and preserve the correlation among the components within each vector. An intrinsic coupling factor is defined to quantitatively measure how closely the components are coupled within a vector, and a bit-allocation mechanism is derived to assign bits to the transform domain vectors. Following the guidance of such a general study, a new scheme is proposed for image and video compression. Simulation results show excellent subjective quality at a bit-rate of 3.3 Mb/s
  • Keywords
    correlation methods; image coding; transform coding; vector quantisation; video coding; 3.3 Mbit/s; bit-allocation mechanism; correlation; image compression; intrinsic coupling factor; quality; transform domain vector quantization; vector transform coding; video compression; Compaction; Decorrelation; Discrete cosine transforms; Discrete transforms; Image coding; Pixel; Transform coding; Vector quantization; Video coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-0950-2
  • Type

    conf

  • DOI
    10.1109/ICC.1993.397295
  • Filename
    397295