Adaptive digital image watermarking based on predictive embedding and a Dynamic Fuzzy Inference System model
by Nizar Sakr, Jiying Zhao, Voicu Z. Groza
International Journal of Advanced Media and Communication (IJAMC), Vol. 1, No. 3, 2007

Abstract: This paper presents a novel robust watermarking technique intended for the application of copyright protection. A dynamic fuzzy inference system is modelled and used in conjunction with a model of the Human Visual System (HVS) to compute the adaptive strength and length of the watermark. The proposed fuzzy logic technique relies on the statistical distributions of the HVS-generated data to accurately approximate the relationship found between all properties of the visual model. In addition, we introduce a predictive watermark embedding algorithm that exploits the average power of the frequency-domain image coefficients to optimise the watermarking process.

Online publication date: Sun, 03-Jun-2007

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