1) grey level scrambling
灰度置乱
1.
This paper proposes a digital image grey level scrambling algorithm based on the classical Vigenère coding theory,and presents the detailed process of this algorithm.
该文基于经典的Vigenère密码理论,提出一种数字图像灰度置乱方法,给出利用这种方法进行数字图像置乱的算法流程。
2) gray scrambling factor
灰度置乱因子
1.
The problem on scoring the image scrambling extent objectively for still gray-level images is studied,and the image scrambling extent can be expressed by the DSF(distance scrambling factor) and GSF(gray scrambling factor) is proposed.
对如何客观评价静止灰度图像的置乱度问题,提出了置乱度Ds可用距离置乱因子和灰度置乱因子表示,给出了置乱度的具体计算公式,并计算了几种常用置乱方法的置乱度值。
3) gray disturbing
灰度扰乱
1.
Chaotic sequences are one-to-one and high-stochastically transformed to image pixel address by using variable modular arithmetic and technique of indirect address image,realizing position scrambling and gray disturbing for image encryption.
该算法采用可变模运算和间接地址映射技术,将混沌序列一对一、高度随机地转换为图像像素地址,实现图像的位置置乱和灰度扰乱加密。
4) disorder degree
置乱度
1.
The disorder degrees are computed and are compared with well-known Ar- nold method.
基于素数的性质,提出了两类新的图像置乱算法:双密钥算法和单密钥算法,计算其置乱度并与Arnold算法进行比较。
5) scrambling degree
置乱程度
1.
An evaluation method of image scrambling degree based on correlation;
基于相关性的图像置乱程度衡量方法
2.
Image scrambling degree evaluation method based on GRA
基于灰色关联分析的图像置乱程度评价方法
6) image scrambling degree
置乱程度
1.
Effective evaluation method of image scrambling degree
一种有效的图像置乱程度衡量方法
2.
By unifying the cross-entropy and the image optimal block processing, a digital image scrambling degree evaluation method based on block cross-entropy is proposed.
将交叉熵与图像的最优分块处理相结合,提出了一种基于分块交叉熵的数字图像置乱程度的评价方法。
3.
In the context of information hiding and digital watermarking,it is important to evaluate the image scrambling degree.
数字图像置乱在信息隐藏和数字水印中具有广泛的应用,对图像置乱程度的评价尤为重要。
补充资料：二风诗·乱风诗五篇·至乱
【诗文】：
嘻乎王家，曾有凶王，中世失国，岂非骄荒。复复之难，
令则可忘。
嘻乎乱王，王心何思？暴淫虐惑，无思不为；生人冤怨，
言何极之。
【注释】：
【出处】：
全唐诗：卷240_7
嘻乎王家，曾有凶王，中世失国，岂非骄荒。复复之难，
令则可忘。
嘻乎乱王，王心何思？暴淫虐惑，无思不为；生人冤怨，
言何极之。
【注释】：
【出处】：
全唐诗：卷240_7
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