Fuzzy Rough Set Based Image Watermarking Approach

Computational intelligent techniques can be useful in developing efficient watermarking approaches that are able to maintain and reduce risks to integrity, confidentiality, and availability of information and resources in computer and network systems. This paper aims to develop a new spatial domain-based watermarking approach that uses the fuzzy rough set to select well thought out blocks to embed secret data with acceptable rate of imperceptibility and robustness against different scenarios of attacks. The proposed model focuses on analyzing the host image to discover specified features in some blocks that in turn will be considered in the watermarking process. These features include the characteristics of the Human Visual System (HVS) regarding the color sensitivity and the textured/semi-smooth regions, where embedding the watermark in low color sensitivity to the human eye and more textured regions gains high imperceptibility and robustness. The experiment results show that the proposed approach gives interesting and remarkable results to preserve the image authentication.