• DocumentCode
    1575875
  • Title

    Pixel-wise based image watermarking by ignoring edges and its neighbor pixels

  • Author

    Morshed, A. B M Mahboob ; Amornraksa, Thumrongrat

  • Author_Institution
    Comput. Eng. Dept., King Mongkut´´s Univ. of Technol. Thunburi, Bangkok, Thailand
  • fYear
    2010
  • Firstpage
    475
  • Lastpage
    480
  • Abstract
    In this paper, we propose a method used to improve the performance of the digital watermarking based on the modification in the blue channel of the image pixels. The main objective is to reduce the error prediction caused by the high different values of neighbor pixels. In the proposed method, the edge detection technique takes place in order to find out the high different values of neighbor pixels, so that on the embedding side, the watermark bits are embedded into the blue component of the image pixels ignoring the edges and neighbor of 3 × 3 pixel positions. The same process is also applied on the extraction side. The experimental results show the improved performance in terms of average NC, compared with the previous methods. The improved robustness of the proposed method against various common imaging processing based attacks e.g. additive Gaussian noise, JPEG compression standard and image cropping at various strengths is also presented and compared.
  • Keywords
    Gaussian noise; edge detection; image coding; image watermarking; JPEG compression standard; additive Gaussian noise; digital watermarking; edge detection; image cropping; neighbor pixels; pixel-wise based image watermarking; Discrete wavelet transforms; Image edge detection; PSNR; Pixel; Robustness; Transform coding; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies (ISCIT), 2010 International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-7007-5
  • Electronic_ISBN
    978-1-4244-7009-9
  • Type

    conf

  • DOI
    10.1109/ISCIT.2010.5664886
  • Filename
    5664886