ISSN 1000-1239 CN 11-1777/TP

• 论文 •

### 基于图像特征点与伪Zernike矩的鲁棒水印算法研究

1. 1(辽宁师范大学计算机与信息技术学院 大连 116029) 2(计算机软件新技术国家重点实验室(南京大学) 南京 210093) (wxy37@126.com)
• 出版日期: 2008-05-15

### A Robust Watermarking Scheme Based on Image Feature and PseudoZernike Moments

Wang Xiangyang1,2, Hou Limin1, and Yang Hongying1

1. 1(School of Computer and Information Technology, Liaoning Normal University, Dalian 116029) 2(State Key Laboratory for Novel Software Technology at Nanjing University, Nanjing 210093)
• Online: 2008-05-15

Abstract: Digital watermarking, as an efficient supplemental method of traditional cryptographic system, has been an important technique for intellectual property protection of digital multimedia. Nowadays, there is an unprecedented development in the image watermarking field. On the other hand, attacks against watermarking systems have become more sophisticated. In general, these attacks can be categorized into common signal processing and geometric distortion. Geometric distortion is known as one of the most difficult attacks to resist. Geometric distortion desynchronizes the location of the watermark and hence causes incorrect watermark detection. Based on HarrisLaplace theory and pseudoZernike moments, a new featurebased image watermarking scheme robust to geometric attacks is proposed in this paper. Firstly, the HarrisLaplace 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 scaled to a standard size; finally, the digital watermark are embedded into the local feature regions (LFR) by quantizing the magnitudes of the pseudoZernike moments. Experimental results show that the proposed scheme is not only invisible and robust against common signals processing such as median filtering, sharpening, noise adding, JPEG compression, etc., but also robust against the geometric attacks such as rotation, translation, scaling, row or column removal, shearing, local geometric distortion, combination attacks, etc.