• DocumentCode
    3452898
  • Title

    A survey of image quality measures

  • Author

    Thung, Kim-Han ; Raveendran, Paramesran

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2009
  • fDate
    14-15 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Image quality assessment is one of the challenging field of digital image processing system. It can be done subjectively or objectively. PSNR is the most popular and widely used objective image quality metric but it is not correlate well with the subjective assessment. Thus, there are a lot of objective image quality metrics (IQM) developed in the past few decades to replace PSNR. This paper provides a literature review of the current subjective and objective image quality measures. The purpose of this paper is to collect reported quality metrics and group them according to their strategies and techniques.
  • Keywords
    image processing; PSNR; digital image processing system; image quality assessment; image quality metrics; Digital images; Gaussian noise; Image coding; Image quality; Image storage; Noise reduction; PSNR; Signal processing; Signal processing algorithms; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technical Postgraduates (TECHPOS), 2009 International Conference for
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-5223-1
  • Electronic_ISBN
    978-1-4244-5224-8
  • Type

    conf

  • DOI
    10.1109/TECHPOS.2009.5412098
  • Filename
    5412098