基于BP神经网络的灰度图像置乱加密方法

Scrambling Encryptions Method of Gray Image Based on BP Neural Network

针对目前灰度图像加密存在的问题,在列举几种数字图像置乱方法后,提出了一种基于BP神经网络的图像置乱加密方法.利用神经网络所具有的非线性变换能力强等优点,大大提高了图像信息的安全性.同时详细描述了基于BP神经网络的图像置乱加密方法的具体实现过程,并在仿真试验中取得了较好效果.

According to the information encryption problem of gray image , this paper listed several digital image scrambling methods , and then proposed a kind of scrambling encryption method based on BP neural net -work.Using the advantages of nonlinear transform ability of neural network , the security of image information is greatly improved .At the same time , the specific implementation process of scrambling encryption method was described based on BP neural network .Through the simulation experiment , good results were achieved .