Watermarking Scheme Against Geometrical Attacks Based on Second Generation Bandelet
基于第二代Bandelet变换的抗几何攻击图像水印

Image watermarking against geometric attacks is the hotspot and challenging point in the present research on watermarking. This paper analyses the characteristics of the second generation Bandelet translation, and then proposes a novel Bandelet-domain watermarking scheme against geometric attacks based on support vector regression (SVR) with the vector of feature points. The proposed scheme includes three important techniques: 1) the Bandelet based image directional flow coefficient which depicts the characteristic of the image is used to embed watermarking bits with odd-even quantization; 2) the feature points robust to geometric deformation are extracted from the watermarking image using Harris-Laplace operator, and used as the eigenvectors to train the SVR model; 3) during detection, the parameters of geometric attacks are obtained using the well trained SVR, which is used for resynchronization, then an odd-even detector is used to extract the watermark blindly. Experiment results show that the proposed scheme is well transparent and is not only robust to common image processing but also robust against some geometric attacks as well as some combined attacks.