基于视觉模型的抗合谋数字指纹

本文提出了一种基于视觉系统模型的抗合谋指纹算法,并对各种合谋攻击的有效性进行了讨论与分析。所提出的算法充分利用了双正交小波多分辨率的优点及人眼视觉系统的特性,实现了数字指纹最大强度的嵌入。实验表明该算法自适应性强,有良好的抗合谋性能。

Anti-collusion Fingerprinting Algorithm for Images Based on Human Visual Model

A new wavelet multi-resolution fingerprinting algorithm for images based on human visual model is presented.This scheme makes good use of the advantage of wavelet multi-resolution and the feature of human visual system,thus keeping the fingerprinting invisible and robust.The experimental results show that the fingerprinting,which are inserted in host image by the proposed algorithm,is adaptive.Meanwhile,the anti-collusion performance of the algorithm is tested.The experiment points out the modified negative attack is the most effective.