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基于位置相关性的图像置乱效果评价方法
引用本文:刘家胜,朱灿焰,汪一鸣,仲兴荣.基于位置相关性的图像置乱效果评价方法[J].计算机工程,2010,36(24):208-210.
作者姓名:刘家胜  朱灿焰  汪一鸣  仲兴荣
作者单位:(苏州大学电子信息学院,江苏 苏州 215021)
基金项目:国家自然科学基金资助项目,苏州大学博士科研启动基金资助项目
摘    要:利用欧氏距离范数描述图像的位置相关性,提出一种图像置乱效果评价方法。对Arnold变换和M序列变换2种置乱算法的置乱效果进行评价,实验结果表明,该评价方法能较好地刻画图像的置乱程度,反映了置乱次数和图像置乱程度之间的关系,与主观评价结果相吻合。

关 键 词:图像置乱  置乱程度  位置相关性  欧氏距离范数

Image Scrambling Effect Evaluation Method Based on Position Correlation
LIU Jia-sheng,ZHU Can-yan,WANG Yi-ming,ZHONG Xing-rong.Image Scrambling Effect Evaluation Method Based on Position Correlation[J].Computer Engineering,2010,36(24):208-210.
Authors:LIU Jia-sheng  ZHU Can-yan  WANG Yi-ming  ZHONG Xing-rong
Affiliation:(School of Electronics & Information Engineering, Soochow University, Suzhou 215021, China)
Abstract:By using Euclidean distance norm to describe position correlation of image pixels, a novel image scrambling effect evaluation method is proposed in this paper. It evaluates image scrambling effect of image encrypted by two scrambling algorithms such as Arnold transform and M-sequence transform. Experimental results show that the proposed method is effective to describe the relation of the image scrambling effect and the number of scrambling. It is in accordance with the subjective evaluation results.
Keywords:image scrambling  scrambling degree  position correlation  Euclidean distance norm
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