• DocumentCode
    2604262
  • Title

    High compression ratio image compression

  • Author

    Zhong, Sheng ; Shi, Qing-Yun ; Cheng, Min-Teh

  • Author_Institution
    Dept. of Math., Peking Univ., Beijing, China
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    275
  • Abstract
    An image compression method is proposed. It makes use of the wavelet transform (WT) with better frequency localization and the adaptive hierarchical vector quantization (AHVQ) technique. The WT provides a multifrequency channel representation for the image from which proper coding methods can be drawn. The AHVQ technique lowers the bit rate significantly while causing no extra distortion and little extra computation. Experimental results with compression ratios of up to 100: 1 are given
  • Keywords
    adaptive codes; image coding; transform coding; vector quantisation; wavelet transforms; AHVQ technique; adaptive hierarchical vector quantization; bit rate; compression ratio; frequency localization; image compression; multifrequency channel representation; wavelet transform; Discrete wavelet transforms; Filters; Frequency; Image coding; Image storage; Multiresolution analysis; Pixel; Visual system; Wavelet analysis; Wavelet transforms;
  • 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.1993.393711
  • Filename
    393711