一种基于Logistic混沌系统和奇异值分解的零水印算法

改变了传统通过修改图像内容进行版权保护的做法，描述了一种基于混沌理论和奇异值分解（singular value decomposing，SVD）的零水印方案；利用了Logistic混沌系统的初值敏感性映射信息隐藏的位置，增强了算法的安全性；采用了奇异值的不变特性构造注册中心的水印，保证了在不改变宿主图像任何信息的同时进行有效地版权保护；将有意义的二值图像作为水印图像，解决了零水印方案水印为无意义二值序列的问题；同时深入分析了水印容量和算法安全性之间的关系.通过对标准测试图像、卡通、医学、风景、遥感、诗画等 关键词： 零水印 混沌系统 Logistic系统 奇异值分解

A novel zero-bit watermarking algorithm based on Logistic chaotic system and singular value decomposition

Based on chaotic system and singular value decomposition （SVD）, a novel zero-bit watermarking algorithm is presented. The proposed approach changed the traditional ways that copyright is protected by modifying the contents of images. Taking advantage of the characteristics of extreme sensitivity to initial values, Logistic mapping is used to find the hiding position of information, which enhances the schemes security. The invariant characters of SVD are applied to make the watermarks of registration center, which make the watermarked image distortion-free. and can protect the copyright effectively. Binary image is selected as watermark image so that the watermarks of existing zero-bit watermarking algorithms are no longer invisible and meaningless. The relationship between watermark capacity and security is also analyzed. Simulation of the algorithm was performed on different types of images, including standard test image, cartoon image, medical image, poem image, remote sensing image and natural scenery image, and the results were compared with existing algorithms. Results show that the propsed algrithm is simple and applicable, and can resist many attacks such as filtering, noising, JPEG compression, and shearing.