基于Contourlet域虚拟树结构和FOA-SVR的自适应鲁棒数字水印算法

为了更好地在Contourlet域里自适应地选择水印的嵌入位置和嵌入强度,克服Contourlet变换最后一层低频子带没有被划分的缺陷,给出了一种Contourlet域虚拟树结构的具体构造方法.基于该构造方法,结合混沌序列,利用果蝇算法(FOA)优化支持向量回归机(SVR)的参数,提出一种自适应的鲁棒数字水印算法,实验结果表明该算法在有较强的鲁棒性和安全性的同时,也具有很好的保真度.

Adaptive and Robust Watermarking Scheme Based on Contourlet Domain Coefficients Suppositional Tree Model and FOA-SVR

To choose a better embedding position and strength of the digital watermark in Contourlet domain and overcome the defect that the last layer of the low frequency subband of the Contourlet transform are not divided,this paper put forward a construction method of the suppositional tree model.On this basis,combined with chaos technology,and utilizing fruit fly optimization Algorithm(FOA) to optimize the parameters of the support vector regression(SVR),a robust and adaptive watermarking scheme is proposed.The result shows that the algorithm owns better effect on robustness,security and invisibility.