• DocumentCode
    3020069
  • Title

    Blind watermarking algorithm based on henon chaos system and lifting scheme wavelet

  • Author

    Shen, Zheng-wei ; Liao, Wei-wei ; Shen, Ya-nan

  • Author_Institution
    Dept. of Math., Univ. of Sci. & Technol. of Beijing, Beijing, China
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    308
  • Lastpage
    313
  • Abstract
    A new blind watermarking algorithm based on Henon chaos system and lifting scheme wavelet is proposed. Two dimensional reversible nonlinear Henon chaos system that is dealt with mould operation is utilized to scramble the watermarking images by chain type; then the scrambling watermarking is embedded into the lifting scheme wavelet coefficients using the pseudorandom of the two dimensional Henon chaotic sequence. This watermarking embedding algorithm optimally utilizes the pseudorandom of the Henon chaos system, and also the embedding position is selected more simply and reasonably. All parameters such as controlling parameter of Henon chaos system x0, y0, s0 and embedding intensity parameter S are encrypting key which further increase the security of the watermarking algorithm. Meanwhile, the different selection of embedding intensity parameter can easily balance the invisible and the robust of the watermarking. Experimental results show that this method is invisible and robust against some usual attacks such as JPEG, cropping, adding noise, filtering and so on.
  • Keywords
    Henon mapping; watermarking; wavelet transforms; Henon chaos system pseudorandom; blind watermarking algorithm; images watermarking scramble; lifting scheme wavelet coefficient; nonlinear Henon chaos system; watermarking algorithm security; Chaos; Chaotic communication; Cryptography; Matrix converters; Noise robustness; Pattern analysis; Pattern recognition; Watermarking; Wavelet analysis; Wavelet transforms; Blind Watermarking; Henon chaos; Lifting Scheme Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3728-3
  • Electronic_ISBN
    978-1-4244-3729-0
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2009.5207447
  • Filename
    5207447