Feature-based Digital Image Watermarking Scheme Robust to Geometric Attacks
基于图像特征点的强鲁棒数字水印嵌入方案

A new feature-based image watermarking scheme robust to unclassified geometric attacks is proposed in this paper.Firstly,the multiscale Harris detector is utilized to extract steady feature points from the host image;then,the local feature regions(LFR)are ascertained adaptively according to the feature scale theory,and they are normalized by normalization technique;finally,according to the predistortion compensation theory,several copies of the digital watermark are embedded into the nonoverlapped normalized LFR by comparing the DFT mid-frequency magnitudes.Experimental results show that the proposed scheme is not only invisible,but also robust against common signals processing and unclassified geometric attacks.