• DocumentCode
    2157193
  • Title

    An empirical assessment of the structural similarity index

  • Author

    Dosselmann, Richard ; Yang, Xue Dong

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Regina, Regina, SK
  • fYear
    2009
  • fDate
    3-6 May 2009
  • Firstpage
    112
  • Lastpage
    116
  • Abstract
    This research evaluates the performance of the structural similarity index. An increasingly popular image quality metric, the structural similarity index is essentially a measure of the statistical correlation of two images. Its alleged strengths and advantages are widely acclaimed. For an arbitrary set of test images, however, statistical regression reveals a surprisingly high degree of association between the index and the fallible mean squared error, despite claims to the contrary on the part of its designers. This discovery suggests a much closer relationship between these two metrics.
  • Keywords
    correlation methods; image processing; mean square error methods; regression analysis; image quality metric; mean squared error method; statistical image correlation; statistical regression analysis; structural similarity index assessment; Communication channels; Computer science; Digital cameras; Distortion measurement; Humans; Image analysis; Image coding; Image quality; Testing; Video compression; MSE; SSIM; image quality metric; mean squared error; structural similarity index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on
  • Conference_Location
    St. John´s, NL
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-3509-8
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2009.5090102
  • Filename
    5090102