Image scrambling degree evaluation method based on standard deviation

被引：0
|
作者：
Li, Hong-Lei [1 ]
Du, Wen-Cai [1 ]
Yao, Xiao-Ming [1 ]
机构：
[1] Hainan Univ, Coll Informat Sci & Technol, Haikou, Peoples R China
来源：
2011 AASRI CONFERENCE ON APPLIED INFORMATION TECHNOLOGY (AASRI-AIT 2011), VOL 1 | 2011年
关键词：
image scrambling; scrambling degree; standard deviation;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We provide a new method to evaluate the image scrambling degree. Firstly, we divide the scrambled image into suitable blocks, and assume the ideal state of scrambling is the pixels of all gray levels are uniformly distributed throughout the blocks, calculate the standard deviation of every gray level in each scrambling stage, then take a weighted average, and use the reciprocal of average to evaluate the image scrambling degree. The experiment results under Arnold transformation and sub-affine transformation show that the method is simple, effective and accordant with visual observation.
引用
收藏
页码：122 / 125
页数：4
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