• DocumentCode
    2605942
  • Title

    On the optimal transform for vector quantization of images

  • Author

    Cay, M. Atif ; Li, Weiping ; Zhang, Ya-Qin

  • Author_Institution
    EECS Dept., Lehigh Univ., Bethlehem, PA, USA
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    687
  • Abstract
    Transform coding is widely used for image compression. If vector quantization is used in the transform domain, the definition of the optimal transform should be modified because the performance of vector quantization is better when the components within each vector are more correlated. The attributes of the optimal transform for vector quantization are discussed. It is shown how to construct the optimal transform for vector quantization based on the first order Markov model of images
  • Keywords
    Markov processes; image coding; transform coding; vector quantisation; first order Markov model; optimal transform; transform coding; vector quantization; Decorrelation; Discrete cosine transforms; Discrete transforms; Energy measurement; Image coding; Karhunen-Loeve transforms; Laboratories; Pixel; Transform coding; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-1281-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1993.393814
  • Filename
    393814