基于混沌序列的自适应计算机图像加密技术研究

Research on Computer Adaptive Image Encryption Technology Based on Chaotic Sequences

提出一种计算机图形混沌加解密算法。创建2组混沌特性显著的安全序列;将影像分割为若干个固定面积的小块,求得影像块像素差和方差的最大值,通过设定的阈值将影像块划分为平滑块和复杂块;用2组安全序列分别对平滑块和复杂块进行密文加密和明文加密,获取被加密影像。在该算法下利用纹理特征因素实现了影像的自适应分块,同时对混沌算法进行优化,使图像的加解密效率得到大幅的提升。实验结果表明,该机制的加解密效率是传统混沌算法的2倍。

A chaotic encryption and decryption algorithm for computer graphics is designed.We create two groups of security sequences with significant chaotic characteristics.The image is divided into several small blocks with fixed area,and the maximum value of pixel difference and variance of these image blocks are obtained.According to the texture characteristics,the image blocks are divided into flat slider and complex block,and the flat slider and complex block are processed respectively by two groups of security sequences.The encrypted image is obtained by ciphertext encryption and plaintext encryption.In this algorithm,the texture feature of image blocks is introduced to optimize the chaotic algorithm,which greatly improves the efficiency of image encryption and decryption.The experimental results show that the encryption and decryption efficiency of this algorithm is twice that of the traditional chaotic algorithm.