A Geometrically Robust Watermarking Scheme Based on Perceptual Hashes and Genetic Algorithm

摘要：

A geometrically robust image watermarking scheme based on perceptual hashes and genetic algorithm is proposed. The synchronization information, which is generated by perceptual image hashes and pseudo-random number (PRN), and the watermark are embedded into the image based on the human visual system (HVS). In watermark extracting, the geometric transformation parameters are computed from perceptual hash values of the image, which is realized by genetic algorithm. And then the image is re-synchronized by inverse transforming with the parameters. According to the locally optimum detection and a threshold can decide the watermark is present or not, and the threshold is obtained by the Neyman–Pearson (NP) criterion. Simulation results show that the proposed scheme is not only invisible, but also robust against regular signal processing and geometric attacks.

关键词： digital watermarking geometric attacks genetic algorithm perceptual hash

作者: Li Chuanmu Song Haiming

作者单位: School of Computer Engineering, Jimei University, Xiamen 361021, China Teaching Affairs Department, Jimei University, Xiamen 361021, China

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 673-678

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）