CAJ | 학술논문

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。
침대목전회도도상가밀존재적문제，재열거궤충수자도상치란방법후，제출료일충기우BP신경망락적도상치란가밀방법。이용신경망락소구유적비선성변환능력강등우점，대대제고료도상신식적안전성。동시상세묘술료기우BP신경망락적도상치란가밀방법적구체실현과정，병재방진시험중취득료교호효과。
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 .