• DocumentCode
    524848
  • Title

    Image copyright protection scheme using Sobel technology and genetic algorithm

  • Author

    Lee, Mn-Ta ; Chen, Shih-Syong

  • Author_Institution
    Dept. of Electron. Eng., Kao Yuan Univ., Kaohsiung, Taiwan
  • Volume
    1
  • fYear
    2010
  • fDate
    5-7 May 2010
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    A novel scheme combining Sobel technology with genetic algorithm is proposed in this paper to protect image copyright. For the Sobel-based copyright protection schemes in the literatures, they use Sobel technology to detect the edge of the cover image, i.e. the copyright image. By using the kernels to calculate the edge directions of the cover image, the gradients of the cover image pixels can be measured. When the gradient is greater than some scaling factor, which is used to control the robustness of the watermark, its corresponding pixel is considered to be an edge pixel. Otherwise, it is not an edge pixel. Therefore, how to decide a proper value for scaling factor is important for Sobel-based copyright protection schemes. In this paper, the genetic algorithm is used to provide optimal value for scaling factor. Experimental results are shown to demonstrate the robustness of the proposed scheme.
  • Keywords
    copyright; edge detection; genetic algorithms; image coding; watermarking; Sobel technology; Sobel-based copyright protection; copyright image; edge detection; genetic algorithm; image copyright protection; image pixels; scaling factor; watermark; Automatic control; Copyright protection; Discrete Fourier transforms; Discrete wavelet transforms; Frequency domain analysis; Genetic algorithms; Genetic engineering; Image edge detection; Robustness; Watermarking; Sobel technology; copyright protection; digital watermarking; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication Control and Automation (3CA), 2010 International Symposium on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4244-5565-2
  • Type

    conf

  • DOI
    10.1109/3CA.2010.5533851
  • Filename
    5533851