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1)  scrambling degree
置乱度
1.
A novel definition of scrambling degree is presented at length,it can better discribe the uniformity and compaction of scrambling image and was used to weigh the effect of scrambling method mentioned.
本文提出了一种新的置乱度定义,该定义能较明确地衡量置乱图像的均匀与细密程度,并使用它来衡量本文中的置乱实验的效果;提出了一种基于初等函数变换的图像置乱新方法,具有易于实现、复杂性低、密钥空间大、只需一次运算即可达到很好的置乱效果等特点。
2.
A novel calculating formula of scrambling degree is presented at length, the experiments showing that the formula can better describe the result of the image scrambling.
讨论了一种新的置乱度计算公式,试验表明,该公式可以很好地反映置乱程度。
3.
The new image scrambling degree evaluation method based on fuzzy approach measure theory is proposed.
从图像中任意像素与其周围邻域像素之间存在紧密关系角度出发给出了一种模糊集的定义,给出了图像中各像素所对应模糊集及其补集之间的模糊贴近度,最后根据置乱前后图像所有像素所对应的模糊贴近度之和来构造用于图像置乱效果评价的置乱度函数。
2)  scramble degree
置乱度
1.
In this paper,the application of scramble techniques within watermarking and present criterion measure on scramble degree is extensively studied.
文章对置乱技术在数字水印中的应用及图像置乱效果的量化度量方法进行了深入的研究,分析了目前水印系统常用的基于像素位置的置乱度计算方法的局限性,给出了基于图像局部像素值方差的置乱度量方法,并结合数字水印系统对置乱度量方法的有效性进行了验证。
3)  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。
4)  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
5)  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。
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
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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