计算机科学与应用

Vol.2 No.5 (December 2012)

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 , 孙建洪 , 李春艳 :红河学院工学院

 

关键词:

Contourlet变换奇异值分解混沌加密Contourlet SVD Chaos Encryption

 

摘要:

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.

文章引用:

李迎江 , 孙建洪 , 李春艳 (2012) 基于Contourlet变换与SVD分解的鲁棒水印算法。 计算机科学与应用, 2, 262-265. doi: 10.12677/CSA.2012.25046

 

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