一种基于混沌Chebyshev与CNN交错映射的图像加密技术

摘要

Based on cross-feedback of Chebyshev maping and cellular neural network, a method generating pseudorandom noise sequences was put forward? and the pseudo-random performance of the sequences was analyzed and simulated. By applying the sequences into image encryption, scrambling pixels after scrambling positions, and completely disorganizing image pixels correlation, thus the image safety was greatly raised. The simulation results indicate that the algorithm can achieve better effect in image encryption and have strong anti-attacking performance.%提出了一种将细胞神经网络和Chebyshev映射相结合所产生的伪随机序列，分析和仿真了此序列的伪随机性能，再将这种伪随机序列应用到图像加密的过程中。在位置置乱的基础上再进行像素置乱，充分地打乱了图像的像素相关性，大大地提高了图像的安全性。仿真结果表明，该算法可以达到较好的加密效果，并且具有较强的抗攻击性能。