Copyright Protection of Image Learning Objects using Wavelet-based

Abstract

Abstract – An adaptive watermarking algorithm is presented which exploits a biorthogonal wavelets-based human visual system (HVS) and a Fuzzy Inference System (FIS) to protect the copyright of images in learning object repositories. Specifically, the HVS relies on the linear-phase property of biorthogonal wavelet filters (symmetric wavelets) in order to efficiently extract the masking information, while taking into account the local characteristics of the image. The FIS is utilized to compute the optimum watermark weighting function that would enable the embedding of the maximum-energy and imperceptible watermark. The experimental results achieved demonstrate that the proposed algorithm is robust against both, signal processing and geometric attacks.