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

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

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.

To choose a better embedding position and strength of the digital watermark in Contourlet domain and o- vercome 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.