• DocumentCode
    2190109
  • Title

    Image watermark retrieval based on majority voting from different color spaces

  • Author

    Pramoun, Thitiporn ; Mettripun, Narong ; Amornraksa, Thumrongrat

  • Author_Institution
    Comput. Eng. Dept., King Mongkut´´s Univ. of Technol. Thunburi, Bangkok, Thailand
  • fYear
    2011
  • fDate
    17-19 May 2011
  • Firstpage
    999
  • Lastpage
    1002
  • Abstract
    In this paper, a new watermark retrieval method is proposed to be used in the digital watermarking based on the modification of image pixels in order to improve the accuracy of the retrieval watermark and simultaneously enhance the robustness of the embedded watermark. Conceptually, different color spaces usually display different discriminating energy. The watermark embedded in blue component of RGB color space can thus be retrieved from other components in different color spaces i.e. YCbCr and YIQ. Since the quality of watermark in blue components is sometimes better and worse than the one dispersed to the components in different color spaces, majority voting from three different color spaces is used to decide the true value of retrieved watermark bit. The experimental results on a set of standard testing images show the improved accuracy of the retrieved watermark compared to the watermarking scheme with the existing retrieval method. The enhanced robustness of the embedded watermark against various attacks is also evaluated and compared.
  • Keywords
    image retrieval; image watermarking; niobium compounds; yttrium compounds; RGB color space; Y3Fe5O12; YNbCr; blue component; digital watermarking; embedded watermark; image pixel modification; image watermark retrieval; majority voting; Computers; Image color analysis; PSNR; Pixel; Robustness; 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.2011.5948011
  • Filename
    5948011