基于Contourlet变换与SVD分解的鲁棒水印算法  

Robust Image Watermarking Algorithm Based on Contourlet Transform and SVD Decomposition

作　　者：李迎江[1] 孙建洪[1] 李春艳[1] Yingjiang Li;Jianhong Sun;Chunyan Li(Faculty of Engineering, Honghe University, Mengzi)

机构地区：[1]红河学院工学院,蒙自

出　　处：《计算机科学与应用》2012年第5期262-265,共4页Computer Science and Application

基　　金：数字水印技术在个人数字信息保护中应用研究(项目编号:2010Y164)。

摘　　要：对Contourlet变换进行了分析,并在此基础上提出一种改进的基于Contourlet变换与奇异值分解相结合的图像水印嵌入算法,算法首先对水印进行混沌加密,以提高水印的安全性,然后对图像进行Contourlet变换,对中频子带进行分块后奇异值分解,将水印嵌入到最大奇异值中。仿真实验结果表明,本算法具有较强的鲁棒性。According to the analysis of Contourlet transform, an improved image watermarking algorithm based on Contourlet transform and SVD decomposition was proposed. Firstly, in order to improve the security of the watermark, the watermark was encrypted by chaotic encryption;Then use the Contourlet transform to image, block the intermediate frequency subband, and decompose all the block by SVD;embed the watermark into the biggest SVD value. The simulation results show that this algorithm have strong robustness.

关 键 词：CONTOURLET变换 奇异值分解 混沌加密 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]