一种基于CNN和Logistic的双混沌DWT-SVD数字水印新算法

本文提出了一种基于三维细胞神经网络（CNN）混沌系统和Logistic混沌映射的双混沌DWT-SVD数字水印的新算法。具体步骤是：利用三维CNN混沌系统和Logistic混沌对水印图像进行加密处理,选取载体图像经小波分解后的低频系数进行奇异值分解,然后将加密水印嵌入到奇异矩阵中,最后进行反奇异值分解和逆小波变换得到含水印图像。经实验仿真,通过PSNR和NC等定量指标证明使用该方法,水印具有很强安全性、鲁棒性和不可见性,并且经噪声、剪切、旋转、滤波等攻击后,提取出的水印与原始水印NC均保持在98%以上,鲁棒性极好。

A New DWT-SVD Digital Watermarking Algorithm Based on CNN and Logistic Double Chaos

This paper puts forward a new DWT-SVD algorithm of digital watermarking that is using three dimensional cellular neural network（ CNN） chaotic systems and Logistic chaotic double chaotic maps to encrypted a watermark. The specific steps are：first we can use three-dimensional CNN chaos system and the Logistic to encrypt the watermark image,then select the low frequency coefficient that the carrier image transformed by wavelet decomposition with singular value decomposition,and then embed the encrypted watermark in the singular matrix,finally to get the watermark-image through the singular value decomposition and inverse wavelet transform. Approved by the experimental simulation,using this method the PSNR and NC quantitative indicators have the ideal value,the watermark has strong security and robustness and invisibility. And under the noise,cut,rotation and filter attacks,the NC value always stay more than 98 percent,the robustness is the best.