摘要
基于非采样Contourlet变换(NSCT)具有多尺度性、多方向性和平移不变性的优点,本文提出一种基于非采样Contourlet变换和SVD结合的数字水印算法,首先对图像进行非采样Contourlet变换得到低频子带,并对该子带系数进行SVD分解,然后将水印信息嵌入到奇异值中。实验结果表明,算法对旋转、JPEG压缩和噪声等攻击具有很好的抵抗能力,与基于DWT和基于SVD以及基于相同的算法框架下的DWT结合SVD和Contourlet结合SVD的水印算法相比,NSCT结合SVD的算法鲁棒性显著提高。
Nonsubsampled contourlet transform （NSCT） features with multi-scale, multi-direction and translational invariance. In this paper,a new digital watermarking algorithm is proposed based on NSCT and Singular Value Decomposition（SVD）. First,Nonsubsampled Contourlet Transform is applied on the original image to obtain the low frequency component of the image. Then the Singular Value Decomposition of low frequency component of image is carried out. At last ,the watermark information is embedded into the eigenvalue matrix of low frequency component of image. The experiment results proves that the new algorithm has good resistance against rotation,JPEG compression and noise attack. Furthermore, compared with algorithm based DWT and SVD,on combination of DWT with SVD and combination of of Contourlet with SVD,the watermarking algorithm based on NSCT combined with SVD significantly improves the robustness.
出处
《广西师范大学学报（自然科学版）》
CAS
北大核心
2011年第2期195-199,共5页
Journal of Guangxi Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(60963026)
云南省教育厅科研基金资助项目(09J0061
2010J071)
