• DocumentCode
    177704
  • Title

    Full Reference Image Quality Assessment: Limitation

  • Author

    Chetouani, A.

  • Author_Institution
    PRISME, Univ. Orleans, Orleans, France
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    833
  • Lastpage
    837
  • Abstract
    In this work, we propose to study the universality of the Full-Reference Image Quality metrics (FR-IQMs) and show the no-relevance to use this kind of metrics without considering the degradation type contained in the image. Different experimental tests have been done in order to analyze its performance. Eight common FR-IQMs have been used and compared in terms of correlation with the subjective judgments. Obtained results show that the performance of a given FR-IQM differs totally from a degradation type to another. Therefore, we finally conclude by the pertinence of some recent works that propose alternative solutions to solve this limitation and then optimize the image quality estimation process.
  • Keywords
    image processing; visual databases; degradation type; full reference image quality assessment; full-reference image quality metrics; image database; Degradation; Image quality; Indexes; Measurement; Transform coding; Wireless sensor networks; Full reference image quality; Image database; Subjective judgments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.153
  • Filename
    6976863