基于DCT的图像置乱程度评价方法  

Image Scrambling Degree Evaluation Method Based on DCT

作　　者：瞿新南[1] 孙秋艳[1] 

机构地区：[1]常州信息职业技术学院计算机与软件学院,常州213164

出　　处：《计算机工程》2009年第10期164-167,共4页Computer Engineering

摘　　要：针对当前出现的各种各样的置乱算法,为更好地衡量这些算法对不同图像的置乱程度,利用DCT系数的良好特性,结合人眼视觉掩蔽特点,提出一种新的描述图像置乱程度的评价方法。实验表明,该方法与人的主观评价相接近,能较好地反映同一图像和不同图像的置乱效果。There appears a lot of scrambling methods, but no one is the best. In order to measure the scrambling degree of these algorithms to different images better, this paper proposes a new method for accessing the image scrambling degree, which utilities the favorable performance of Discrete Cosine Transform（DCT） coefficients and the feature of masking of human vision system. Experiments show that the method correlates with subjective assessment and its results can reflect scrambling effect well of the same image and different images.

关 键 词：图像置乱 离散余弦变换 骑士巡游变换 置乱度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]