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1)  Multi-step Scrambling transformation
多步置乱变换
2)  scrambling transformation
置乱变换
1.
Shifting the Hilbert curve can get much more new paths for scrambling, and with the changing figure of the overlap ratio the rule of scrambling transformation is discussed in order to test the period and the quasi-period of the scrambling transformation.
研究了基于Hilbert曲线的数字图像置乱方法 ,引入二个概念 :“重合度”和“Hilbert曲线的平移” ,利用Hilbert曲线平移 ,获得了更多新的置乱路径 ,并根据重合度变化图探讨了置乱变换的规律 ,以测试置乱变换的周期和拟周期。
2.
Image scrambling transformation is a common method in information hiding and image encryption.
图像置乱变换是信息隐藏和图像加密常用的方法,如何衡量一种置乱变换的好坏,是研究的热点和难点问题。
3.
This paper provides an precise expression for the period T(A,N) under a 2-D random integer matrix scrambling transformation modulus N for any N, and provides the estimation of the upper bound of the period T(A,N).
给出了二维随机整数矩阵A决定的置乱变换在任意模N下周期T(A,N)的精确表达式及上界估计。
3)  scramble transformation
置乱变换
1.
To reflect the image scrambling effect by image cross-entropy, the scramble transformations with periods are simulated.
为了能用图像交叉熵反映出图像置乱效果,采用具有周期性的置乱变换进行实验,结果表明,该方法能够较好地刻画图像的置乱程度,反映了加密次数与置乱程度的关系,与人的视觉基本相符。
4)  Arnold transformation
Arnold置乱变换
1.
In the paper,a data-hiding algorithm in image based on Arnold transformation and discrete cosine transform(DCT) is introduced.
介绍了基于Arnold置乱变换和离散余弦变换(DCT)的图像信息隐藏算法。
5)  magic cube scrambling permutation
魔方置乱变换
6)  image scrambling transformation
图像置乱变换
1.
To solve the problem,in this paper,a novel 2-dimension non equilateral image scrambling transformation is proposed and the periodicity existence judgment criteria are presented.
传统的2维图像置乱变换一般用于正方形图像处理,对宽高不等的矩形图像,需进行正方形扩展,或使用高维置乱变换阵置乱。
补充资料:关中伤乱后
【诗文】:
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【出处】:
全唐诗:卷492-58
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