基于进制转化和移位的数字图像置乱算法  

Digital image scrambling algorithm based on the system transformation and shifting

作　　者：段雪峰[1] 关健[1] 刘云波[1] 王璐璐[1] 

机构地区：[1]桂林电子科技大学数学与计算科学学院,广西桂林541004

出　　处：《桂林电子科技大学学报》2011年第5期403-405,共3页Journal of Guilin University of Electronic Technology

基　　金：广西教育厅科研项目(201012MS094);桂林电子科技大学大学生创新基金(ZCC0145)

摘　　要：针对传统数字图像置乱算法需多次迭代、加密强度不够、密钥空间小和抗攻击性差等问题,基于混沌序列提出一种新的数字图像置乱算法,该算法借助于进制转化和移位改变数字图像的像素值和像素位置,从而使人们无法识别原始图像所表达的真正含义。理论分析和实验结果表明:该算法具有较大的密钥空间,无需迭代,对密钥有很强的敏感性,能改变图像的灰度特征,且置乱后的图像纹理细、颗粒均匀、不含图像轮廓。因此,该算法效率高,安全性好,具有一定的应用价值。In general, classical image scrambling algorithms exist some problems such as needing many iterations, in- sufficient strength of encryption, little key space, weak resistance. Based on the chaotic sequences, a new digital im- age scrambling algorithm was proposed. By making use of the system transformation and shifting to change pixel values and position simultaneously,the true mean of original image can not be found. Theory and experimental re- suits show that the new algorithm has large key space and does not involve iterations. It can change the grey-scale feature of image and it is sensitive to the key. After scrambling, the texture of image is thin and the granules is e- ven. Therefore the new algorithm is efficient and has nice security and application value.

关 键 词：图像置乱 混沌序列 进制转化 移位 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]