• DocumentCode
    2491951
  • Title

    Continuous-tone Watermark Hiding in Halftone Images

  • Author

    Guo, Jing-Ming ; Liu, Yun-Fu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2010
  • fDate
    6-8 April 2010
  • Firstpage
    411
  • Lastpage
    414
  • Abstract
    In this paper, a low computational complexity method is proposed to embed a multi-tone visual pattern using the concept of secret sharing. One halftone image is obtained using regular error diffusion, and the other image is obtained using the proposed Generalized Noise-Balanced Error Diffusion (GNBEDF) in considering the properties of the watermark and the first halftone image in the same time. With the proposed method, the bi-level watermark embedding becomes a special case to this technology. The bi-level watermark decoding can be simply achieved via printing the two halftone images onto two transparencies and then superimposing them together to reveal the watermark pattern. However, as the multi-tone watermark is involved, the proposed Gaussian Difference (GD) approach is needed to perform the decoding to produce a decoded multi-tone watermark. Throughout this work, a lowpass filter obtained by Least-Mean-Square is employed to assess the image quality.
  • Keywords
    Gaussian processes; computational complexity; image coding; least mean squares methods; watermarking; Gaussian difference approach; bi-level watermark decoding; bi-level watermark embedding; computational complexity method; continuous-tone watermark hiding; generalized noise-balanced error diffusion; halftone images; image quality; least-mean-square; multitone visual pattern; secret sharing concept; Computational complexity; Decoding; Filters; Gray-scale; Humans; PSNR; Printing; Stochastic resonance; Visual system; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Conference (APWEB), 2010 12th International Asia-Pacific
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-7695-4012-2
  • Electronic_ISBN
    978-1-4244-6600-9
  • Type

    conf

  • DOI
    10.1109/APWeb.2010.75
  • Filename
    5474099