An SVR Based Image Watermarking Detection Algorithm against Geometric Attacks
Zihan Xu, Xiangyang Wang · 2009
According to the support vector regression (SVR), a new image watermarking detection algorithm against geometric attacks is proposed in this paper, in which the steady pseudo-Zernike moments and Krawtchouk moments are utilized. The main steps of watermark detecting procedure include: 1) some low-order Krawtchouk moments are calculated as the eigenvectors; 2) the appropriate kernel function is selected for training, and an SVR training model can be obtained; 3) the actual output is predicted by using the well trained SVR; 4) the digital watermark is extracted from the corrected test image. Experimental results show that the proposed watermarking detection algorithm is not only robust against