• DocumentCode
    2135542
  • Title

    The Contourlet-based structural similarity for image quality evaluation

  • Author

    Zhidan Yan ; Junxiang Li ; Chunmei Yang

  • Author_Institution
    Coll. of Inf. & Control Eng., China Univ. of Pet.(East China), Qingdao, China
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    383
  • Lastpage
    386
  • Abstract
    Taking into account the fact that the judgment on image quality by human eyes is more dependent on the main contours of an image, the Contourlet-based structural similarity method (CSSIM) is introduced and analyzed in the paper. The outline information of an image can be extracted through multi-scale decomposition process. The simulated experiments show that CSSIM is more consistent with visual characteristics of human eyes and better than the common quality evaluation method of structural similarity (SSIM) to judge the image quality.
  • Keywords
    medical image processing; CSSIM technique; Contourlet based structural similarity; human eyes; image quality evaluation; multiscale decomposition process; Contourlet transform; image quality evaluation; structural similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-1183-0
  • Type

    conf

  • DOI
    10.1109/BMEI.2012.6513074
  • Filename
    6513074