1) magic cube scrambling permutation
魔方置乱变换
2) magic cube permutation
魔方置乱
1.
A new magic cube permutation algorithm based on chaos is presented in this paper for image encryption.
文章提出了一种新的基于混沌的魔方置乱算法,并将其应用于图像加密。
3) magic cube transformation
魔方变换
1.
A novel algorithm of digital image scrambling and encryption based on magic cube transformation;
一种新的基于魔方变换的数字图像置乱加密算法
2.
In addition,a novel magic cube mutation strategy,inspired by the magic cube transformation,is employed to accelerate evolution speed after each iteration.
同时,受魔方变换的启发,提出了一种新颖的魔方变异策略,以加快对迭代最优解进行局部优化的速度。
3.
This algorithm uses the chaotic sequences created by discrete standard map which initial values and parameters are given to improve magic cube transformation, then, uses the new magic cube transformation to do permutation transforms on image, and performs XOR operation circularly by chain type on gray value of pixels and chaotic sequence.
利用给定初始值与参数的离散standard映射生成混沌序列,使用混沌序列构造改进的魔方变换对图像进行置乱,并对各像素点的灰度值与混沌序列进行链式循环异或。
4) 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。
5) 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。
6) 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。
补充资料：Radon变换和逆Radon变换
Radon变换和逆Radon变换
X线物理学术语。CT重建图像成像的主要理论依据之一。1917年澳大利亚数学家Radon首先论证了通过物体某一平面的投影重建物体该平面两维空间分布的公式。他的公式要求获得沿该平面所有可能的直线的全部投影(无限集合)。所获得的投影集称为Radon变换。由Radon变换进行重建图像的操作则称为逆Radon变换。Radon变换和逆Radon变换对CT成像的意义在于，它从数学原理上证实了通过物体某一断层层面“沿直线衰减分布的投影”重建该层面单位体积，即体素的线性衰减系数两维空间分布的可能性。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条