• DocumentCode
    1741586
  • Title

    Perceptual quantization for wavelet-based image coding

  • Author

    Ramos, Marcia G. ; Hemami, Sheila S.

  • Author_Institution
    Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    645
  • Abstract
    A psychovisually-based quantization strategy for wavelet coded images is proposed. The quantization strategy is based on the results of a psychovisual evaluation to quantify sensitivities to supra-threshold distortion caused by wavelet coefficient quantization in natural images. Quantizer step sizes to produce a minimum noticeable distortion are parameterized in terms of subband standard deviation and a quantization strategy is subsequently proposed. The resulting strategy is applied to both intraband and embedded wavelet coders and reveals a significant perceptual improvement when images exhibit supra-threshold distortion
  • Keywords
    image coding; quantisation (signal); transform coding; visual perception; wavelet transforms; embedded wavelet coders; intraband wavelet coders; minimum noticeable distortion; natural images; perceptual quantization; psychovisual evaluation; psychovisually-based quantization strategy; quantizer step sizes; subband standard deviation; supra-threshold distortion; wavelet coefficient quantization; wavelet image coding; Compression algorithms; Frequency; Humans; Image analysis; Image coding; Psychology; Quantization; Visual system; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.901041
  • Filename
    901041