• DocumentCode
    2190051
  • Title

    Reducing prediction error in watermark retrieval process by multiple non-linear filtering

  • Author

    Mettripun, Narong ; Hlaing, Nwe Ni ; Pramoun, Thitiporn ; Amornraksa, Thumrongrat

  • Author_Institution
    Comput. Eng. Dept., King Mongkut´´s Univ. of Technol. Thunburi, Bangkok, Thailand
  • fYear
    2011
  • fDate
    17-19 May 2011
  • Firstpage
    987
  • Lastpage
    990
  • Abstract
    This paper presents an improving method used in the watermark retrieval process of digital watermarking for color image based on the modification of image pixels. Based on the prior knowledge of the embedded watermark pattern, some errors from the watermark bit prediction process can be reduced simply by changing the predicted bit value in accordance with all predicted bits value within the prediction area. To achieve this, we simply implement a non-linear filter with different characteristics to the predicted watermark bits, and output the result as the retrieved watermark. With the proposed method, the performance in both accuracy of the retrieved watermark and robustness of the embedded watermark can be improved. The experimental results show the improvements in term of NC at the equivalent PSNR after implementing our retrieval method with the existing watermarking scheme, compared to the previous methods. The improved robustness of the embedded watermark against common image processing based attacks and geometrical attacks are also evaluated and compared.
  • Keywords
    image retrieval; image watermarking; nonlinear filters; digital watermarking; embedded watermark; image pixel; image processing; multiple nonlinear filtering; prediction error; watermark bit prediction process; watermark retrieval process; Brightness; Computers; PSNR; Pixel; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2011 8th International Conference on
  • Conference_Location
    Khon Kaen
  • Print_ISBN
    978-1-4577-0425-3
  • Type

    conf

  • DOI
    10.1109/ECTICON.2011.5948008
  • Filename
    5948008