• DocumentCode
    2874354
  • Title

    A Novel Watermarking Algorithm Based on ICA

  • Author

    Gui, Feng ; Qiwei, Lin ; Jianxiong, Zheng

  • Author_Institution
    Dept. of Electron. & Commun., HuaQiao Univ., Quanzhou
  • fYear
    2007
  • fDate
    16-18 April 2007
  • Firstpage
    204
  • Lastpage
    207
  • Abstract
    Through calculating the high-order statistic information of data, independent component analysis (ICA) algorithm can separate the observation signals mixed by some mutually independent source signals blindly and effectively. So it has been used to extract the image features and separate the mixed signals blindly. Making use of the merit of ICA, we propose a watermarking scheme based on ICA in this paper. We first introduce ICA to obtain a set of statistically independent sources; then we use ICA for watermark blind extraction. The experimental results show that the proposed scheme has better invisibility and good robustness to different kinds attacks.
  • Keywords
    feature extraction; image coding; independent component analysis; watermarking; high-order statistic information; image feature extraction; independent component analysis; watermarking algorithm; Data mining; Feature extraction; Frequency; Gaussian noise; Independent component analysis; Protection; Robustness; Signal processing algorithms; Statistical analysis; Watermarking; ICA; blind extraction; copyright protection; digital watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Anti-counterfeiting, Security, Identification, 2007 IEEE International Workshop on
  • Conference_Location
    Xiamen, Fujian
  • Print_ISBN
    1-4244-1035-5
  • Electronic_ISBN
    1-4244-1035-5
  • Type

    conf

  • DOI
    10.1109/IWASID.2007.373727
  • Filename
    4244813