基于奇异值分解的Contourlet域水印算法

Contourlet Domain Watermarking Algorithm Based on Singular Value Decomposition

目的提高数字水印算法抗信号处理攻击能力,提升水印鲁棒性。方法提出一种基于Contourlet变换和奇异值分解(SVD)相结合的水印算法。对水印图像进行多次Arnold置乱处理,实现置乱加密;选择Contourlet域变换系数的方向子带作为水印嵌入区域;在Contourlet系数构建矩阵中进行SVD分解,并结合人类视觉系统进行嵌入强度的自适应选择。结果实验结果得出图像的峰值信噪比为54.1279 d B,表明所述算法具有很好的透明性、隐蔽性。结论所述图像数字水印算法具有很好的鲁棒性、不可见性以及抵抗各种攻击的能力,对数字产品的版权保护具有促进作用。

The work aims to improve the ability of anti-signal processing attacks of digital watermarking algorithm, in order to improve the watermark robustness. A watermarking algorithm based on Contourlet transform and singular value decomposition （SVD） was proposed. The watermark image was repeatedly subject to Arnold scrambling processing to achieve scrambling encryption; directional sub-bands of Contourlet transform coefficients were selected as the watermark embedding region; SVD decomposition was conducted in the Contourlet coefficient building matrix and the adaptive se- lection of embedding strength was done combined with the human visual system. The experimental results showed that the peak signal to noise ratio of the image was 54.1279 dB, which indicated that the proposed algorithm had good transpa- rency and concealment. The proposed image digital watermarking algorithm has good robustness, invisibility and the ability to resist various attacks, and it promotes the copyright protection of digital products.