基于空域的水印图像几何校正和零水印算法.pdf

Computer Engineering and Applications 计算机工程与应用 2011 ，47 （13） 91 基于空域的水印图像几何校正和零水印算法 廖琪男 LIAO Qinan 广西财经学院 计算机与信息管理系，南宁 530003 Department of Computer Information Management ，Guangxi University of Finance Economics ，Nanning 530003 ，China LIAO Qinan.New spatial-domain based algorithm of watermarked image geometric correction and zero-watermarking. Computer Engineering and Applications ，2011 ，47 （13）：91-94. Abstract ：In order to achieve the copyright protection of digital image ，a universal watermarked image geometric correction and zero-watermarking method is proposed.Firstly ，test image rotation and scaling parameters can be estimated by the differ- ence between the stable and the farther SIFT feature point ’s coordinates of it and those of the original image.After revising ， the test image translation can be corrected by the change of one stable SIFT feature point ’s coordinates of it and those of the original image.Then ，According to the zero watermark characteristic ，the zero-watermarking is constructed by performing the XOR operation on the pixel of watermark with another pixel randomly extracted from the original image.Theoretical anal- ysis and experimental results show that the watermarked image geometric correction algorithm can effectively recover water- mark synchronization ，so that the watermark can be correctly detected.The zero-watermarking method has a better security per- formance ，and compared with the same class zero watermarking algorithm based on DWT ，it has a stronger ability of resist- ing shear ，geometric distortions ，image process and signal process attacks. Key words ：digital watermarking ；geometric attacks ；Scale Invariant Feature Transform（SIFT）；estimate affine factors ；zero-watermarking 摘 要：为了有效实现对数字图像的版权保护，提出一种通用的水印图像几何校正和零水印算法。，用两个稳定而又相距最远的 图像SIFT 特征点的变化估计图像所经历的旋转和缩放参数，校正之后，再用一个稳定的SIFT 特征点的变化校正图像的平移变 换。根据零水印特点，随机从载体图像提取特征像素与水印像素按位异或运算构造零水印。理论分析和实验结果表明，图