• DocumentCode
    285756
  • Title

    An image coding algorithm in the vector transform domain

  • Author

    Youtkus, Donald J. ; Li, Weiping

  • Author_Institution
    CSEE Dept., Lehigh Univ., Bethlehem, PA, USA
  • Volume
    5
  • fYear
    1992
  • fDate
    10-13 May 1992
  • Firstpage
    2284
  • Abstract
    The authors introduce a new algorithm for coding in the vector transform domain based upon a thresholding technique. First a set of image vectors is transformed into the vector transform domain by using a 2D vector transform. Vector quantization is performed on only those transform domain vectors having a length exceeding a specified threshold value. A general approach to optimizing the threshold map for the human visual system is discussed. Simulation results based on a specific threshold map are presented and compared with those using other techniques
  • Keywords
    image coding; vector quantisation; 2D vector transform; human visual system; image coding algorithm; image vectors; threshold map; thresholding technique; vector transform domain; Data compression; Discrete cosine transforms; Discrete transforms; Humans; Image coding; Image reconstruction; Pixel; Transform coding; Vector quantization; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0593-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1992.230503
  • Filename
    230503