基于细胞神经网络混沌特性的图像加密技术应用研究

基于细胞神经网络(Cellular Neural Networks)的数字图像加密算法,利用细胞神经网络独有特性,构造一个五维的混沌序列作为秘钥源,在此基础上利用Logistic混沌序列图像像素置乱算法,从而实现对图像加密.编程模拟仿真实验表明,加密图像置乱度高,相邻像素的相关性小,抗攻击性强,安全性更高.最后对明文和密文进行相关性分析,从理论上验证了该加密算法的可靠性.

On Application of Image Encryption Technology Based on Chaotic of Cellular Neural Network

This paper gives a brief introduction of the basic knowledge of Cellular Neural Networks and proposes an image encryption algorithm based on Cellular Neural. The algorithm is based on the unique characteristics of Cellular Neural Networks by using a chaotic system of 5 - D CNN as the key source. On this basis, this chapter puts forward an image pixel scrambling algorithm based on Logistic chaotic sequence, which realize the image encryption. In this paper, encryption algorithms are programmed and stimulated. The result shows that encryption image is the characters of higher pixel scrambling degree, small correlation between adjacent pixels, strong anti attack, higher security.