• DocumentCode
    3519262
  • Title

    Wavelet transformation image coding based on the human visual specificity

  • Author

    Ruan, Qiuqi ; Weimin Feng

  • Author_Institution
    Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
  • Volume
    2
  • fYear
    1996
  • fDate
    14-18 Oct 1996
  • Firstpage
    1195
  • Abstract
    A new method based on wavelet theory has been developed for low bit rate coding of image. The wavelet transform results in a logarithmic division of frequency space which can be justified by relevance to human visual system models and allows each frequency band to be efficiently coded. In order to achieve low bit rate, two new coding schemes respectively based on scalar quantisation (SQ) and vector quantisation (VQ) have been proposed. The comparison with other previously published results indicates that these tow new methods are competitive
  • Keywords
    image coding; transform coding; vector quantisation; wavelet transforms; frequency space; human visual specificity; human visual system models; image coding; logarithmic division; low bit rate coding; scalar quantisation; vector quantisation; wavelet transform; Bit rate; Eyes; Frequency conversion; Humans; Image analysis; Image coding; Optical filters; Optical signal processing; Signal analysis; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 1996., 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-2912-0
  • Type

    conf

  • DOI
    10.1109/ICSIGP.1996.566342
  • Filename
    566342