• DocumentCode
    2535262
  • Title

    Image quality assessment based on multiple watermarking approach

  • Author

    Baaziz, Nadia ; Zheng, Dong ; Wang, Demin

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. du Quebec en Outaouais, Gatineau, QC, Canada
  • fYear
    2011
  • fDate
    17-19 Oct. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Automatic monitoring of image/video quality is very important in modern multimedia communication services. We are interested in digital watermarking as a promising approach to image quality assessment without reference to the original image. The proposed methodology makes use of wavelet-based embedding of multiple watermarks with robustness control in order to capture the degree of the degradation undergone by a received image. The watermark robustness is controlled through 1) embedding and detection of multiple watermarks, 2) multi-resolution and directional subband selection, 3) perceptual watermark weighting and 4) fine watermark strength adjustment process. At the receiver end, the detection or lack of detection of the watermarks in a received image are used to estimate image´s PSNR range and determine its associated quality attribute. Simulation results show the efficiency of such watermarking scheme in assessing the quality level of test images under JPEG compression.
  • Keywords
    image coding; image watermarking; multimedia communication; video watermarking; wavelet transforms; JPEG compression; automatic monitoring; digital watermarking; directional subband selection; fine watermark strength adjustment; image quality assessment; image/video quality; multimedia communication services; multiple watermarking; perceptual watermark weighting; receiver end; robustness control; wavelet-based embedding; Correlation; Degradation; Discrete wavelet transforms; Image quality; PSNR; Quality assessment; Watermarking; HVS perceptual masking; Image quality assessment; PSNR; multiple watermarking; stationary wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing (MMSP), 2011 IEEE 13th International Workshop on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-1432-0
  • Electronic_ISBN
    978-1-4577-1433-7
  • Type

    conf

  • DOI
    10.1109/MMSP.2011.6093787
  • Filename
    6093787