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
Link To Document :
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