• DocumentCode
    3488768
  • Title

    A Wigner-Ville distribution-based image dissimilarity measure

  • Author

    Iordache, R. ; Beghdadi, A.

  • Author_Institution
    Signal Process. Lab., Tampere Univ. of Technol., Finland
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    430
  • Abstract
    The aim of this article is to present a new measure of image degradation based on a joint spatial/spatial-frequency representation using the Wigner-Ville distribution. The developed measure is tested on some known image degradations. The obtained results demonstrate the efficiency of the measure in predicting image quality as compared to classical distortion measures such as signal-to-noise ratio
  • Keywords
    Wigner distribution; image coding; Wigner-Ville distribution; image coding evaluation; image coding optimization; image degradation; image dissimilarity measure; image quality prediction; joint spatial/spatial-frequency representation; signal-to-noise ratio; Degradation; Distortion measurement; Humans; Image analysis; Image coding; Image quality; Signal analysis; Signal processing; Signal to noise ratio; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and its Applications, Sixth International, Symposium on. 2001
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    0-7803-6703-0
  • Type

    conf

  • DOI
    10.1109/ISSPA.2001.950172
  • Filename
    950172