小波域局部标准差的图像置乱评价方法  

Evaluation Method of Image Scrambling Based on Wavelet Transformation and Local Standard Deviation

作　　者：范铁生[1] 张绍成[2] 张忠清[1] 宣伟宏[1] 薛军[1] 

机构地区：[1]辽宁大学信息学院,沈阳110036 [2]辽宁大学计算中心,沈阳110036

出　　处：《小型微型计算机系统》2014年第4期931-935,共5页Journal of Chinese Computer Systems

摘　　要：针对许多图像置乱客观评价方法对于体现图像置乱前后之间的内在联系不足且大都基于某一种置乱技术而产生的通用性不强问题,提出一种小波域局部标准差的图像置乱评价方法,以便真实客观地评价图像置乱效果的好坏.该方法将局部标准差应用于小波域,在频率域里分析图像置乱程度,得到了一种新的评价数字图像置乱算法的评价方法,此方法简单且有效.实验结果表明,该评价方法可行;并且用不同置乱算法对不同图像进行置乱的效果评价都能准确地反映置乱次数与置乱程度的关系,而且与人的视觉感知基本一致;这就证明了算法的有效性和合理性.General in many images scrambling objective method to evaluate the image scrambling between the inner link is deficient and mostly a scrambling technology based on the generated is not strong. New image scrambling evaluation method based on wavelet transformation and local standard deviation is proposed, In order to evaluate image scrambling quality good or bad actually. The meth- od applies local standard deviation to wavelet domain, and analysis of the degree of image scrambling in frequency domain, so that obtaining a new evaluation method for measuring the digital image scrambling algorithm, this method is simple and effective. The ex- perimental results show that the evaluation method is feasible; in addition, effect evaluation which make different scrambling algo- rithm on different image scrambling can accurately reflect relationship of the scrambling number and scrambling degree, and as the same as the visual perception basically. It shows that the algorithm is effective and practical.

关 键 词：图像置乱 置乱程度 小波域 置乱算法 评价方法 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]