A Zero-watermarking Algorithm Based on Fuzzy Adaptive Resonance Theory

Autor: Tie Gang Gao, Li Zong Li, Yun Liu, Qiao Lun Gu
Rok vydání: 2009
Předmět:
Zdroj: FSKD (3)
DOI: 10.1109/fskd.2009.157
Popis: 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.
Databáze: OpenAIRE