• DocumentCode
    506971
  • Title

    A Zero-watermarking Algorithm Based on Fuzzy Adaptive Resonance Theory

  • Author

    Li, Li Zong ; Gao Tie Gang ; Gu Qiao Lun ; Liu Yun

  • Author_Institution
    Center of Inf., Tianjin Univ. of Technol. & Educ., Tianjin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    378
  • Lastpage
    382
  • Abstract
    In this paper, a zero-watermarking algorithm based on fuzzy adaptive resonance theory (ART) is proposed. There are three roles in the algorithm: the signer, the verifier, and trusted authority (TA). The signer is responsible for constructing the verification information of the host image with fuzzy ART, the verifier can be anyone who wants to check the ownership of the host image, and TA is responsible for generating the certificate of the protected image for the signer. The experimental results show that the watermarking algorithm is robust against image processing such as median filtering, JPEG compression, additive Gaussian noise, cropping and rotation attacks and so on.
  • Keywords
    ART neural nets; fuzzy neural nets; image coding; watermarking; fuzzy ART; fuzzy adaptive resonance theory; host image; protected image; signer; trusted authority; verification information; verifier; zero-watermarking algorithm; Additive noise; Filtering algorithms; Image coding; Image processing; Noise robustness; Protection; Resonance; Subspace constraints; Transform coding; Watermarking; cellular automata; chaoti; lifting wavelet; zero-watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.157
  • Filename
    5358994