• DocumentCode
    2931670
  • Title

    Subjective and objective quality evaluation of lar coded art images

  • Author

    Strauss, C. ; Pasteau, F. ; Autrusseau, F. ; Babel, M. ; Bédat, L. ; Déforges, O.

  • Author_Institution
    Image Group, INSA of Rennes, Rennes, France
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    674
  • Lastpage
    677
  • Abstract
    Quality assessment is of major importance when designing and testing an image/video coding technique. Compression performances are usually evaluated by means of rate-distortion curves. However, the PSNR is commonly employed as the distortion measure. We hereby present a full quality assessment benchmark for the LAR (locally adaptive resolution) coder. We conducted a subjective experiment, where nineteen observers were asked to assess the perceptual quality of LAR coded images under normalized viewing conditions. Furthermore, five objective quality assessment metrics were used in order to determine the most suitable metric for the LAR coder. Finally, both JPEG and JPEG200 images were generated and assessed during the subjective experiment in order to define the optimal quality metric which should be used when comparing the codecs´ output images quality.
  • Keywords
    adaptive codes; image coding; image resolution; rate distortion theory; LAR coded art image; image quality; locally adaptive resolution coder; objective quality evaluation; quality assessment metrics; rate-distortion curve; subjective evaluation; Art; Benchmark testing; Distortion measurement; Image coding; Image generation; PSNR; Performance evaluation; Quality assessment; Rate-distortion; Video coding; Image coding; Image segmentation; Quality assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202586
  • Filename
    5202586