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.

Key words: image scrambling, scrambling degree, position correlation, Euclidean distance norm

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

CLC Number: 

• TP391