Adaptive digital image watermarking based on predictive embedding and a Dynamic Fuzzy Inference System model

摘要

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.