基于位置和灰度变换的混沌图像置乱算法

在分析传统图像置乱方法不足的基础上,提出一种新的基于位置迁移和像素灰度变换的图像全局置乱算法.算法以图像矩阵的元素为单位进行置乱,采用不同的混沌序列对矩阵中每个元素的位置和灰度都进行了一次随机的改变,产生了图像全局置乱矩阵.变换矩阵形式不固定且不动点的个数为零,没有统一的迭代公式,达到了良好的图像置乱效果.同时,该算法具有较低的时间复杂度和较好的安全保密性能.最后,仿真和实验结果验证了本算法的有效性.

Chaotic Image Scrambling Algorithm Based on Location and Gray Transformation

Based on the analysis of the defect of the traditional image scrambling,a new image scrambling algorithm is proposed based on location and pixel gray transformation.The algorithm scrambles by taking the matrix element as the unit,which produces the image total scrambling matrix by randomly changing the location and gray of every matrix element in different chaotic sequence.The form of the transformation matrix is unfixed and the number of the unmoving point is zero with no standard iterated formula,which achieves a better scrambling performance.Meanwhile,the algorithm has lower time complexity and high-level security.At last,some simulations and experiments verified the algorithm effectiveness.