• DocumentCode
    3063166
  • Title

    Quantitative evaluation method of visual difference caused by image decimation

  • Author

    Ueno, Satoshi ; Okuda, Masahiro

  • Author_Institution
    Fac. of Environ. Eng., Univ. of Kitakyushu, Kitakyushu
  • fYear
    2009
  • fDate
    8-11 Feb. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a method for evaluating visual difference caused by decimation. In many applications it is important to evaluate visual difference of two different images. There exist many image assessment methods that utilize the human visual system (HVS), such as the visual difference predictor (VDP) and the Sarnoff visual discrimination model. In this paper, we extend and elaborate on the conventional image assessment method for the purpose of evaluating the visual difference caused by the image decimation. Our method matches actual human evaluation more and requires less computation complexity than the conventional method.
  • Keywords
    computational complexity; image processing; Sarnoff visual discrimination model; computation complexity; human visual system; image assessment method; image decimation; quantitative evaluation; visual difference; Degradation; Frequency; Humans; Interpolation; Low pass filters; Maximum likelihood detection; Predictive models; Quality assessment; Signal processing; Visual system; VDP; decimation; distortion; texture; visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems, 2008. ISPACS 2008. International Symposium on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-2564-8
  • Electronic_ISBN
    978-1-4244-2565-5
  • Type

    conf

  • DOI
    10.1109/ISPACS.2009.4806749
  • Filename
    4806749