图像置乱效果量化模型  

Model on Quantifying the Effect of Image Scrambling

作　　者：郭琳琴[1] 高文莲[2] 

机构地区：[1]吕梁高等专科学校数学系,山西离石033000 [2]吕梁高等专科学校计算机系,山西离石033000

出　　处：《西安文理学院学报（自然科学版）》2010年第2期93-97,共5页Journal of Xi’an University(Natural Science Edition)

摘　　要：在对图像置乱效果定性评价分析的基础上提出了位置、灰度和偏差度是衡量置乱效果的重要因素,并应用数学建模的方法对各因素的影响程度进行了量化,从而给出新的图像置乱度公式.实验表明,该置乱度公式可有效衡量图像置乱程度的效果,与人的直观视觉效果较为吻合.With the wide use of image scrambling technology, how to quantify the effect of image scrambling evaluation has become a widespread concern. Based on the qualitative analysis, this paper states that location, gray and deviation are important factors of measuring scrambling effects. It applies the method of mathematical model to quantify the influence of each factor and gives a new formula of image scrambling. Experimental resuits show that the formula can effectively measure the degree of image scrambling and tallies with people＇s direct viewing visual effect.

关 键 词：图像置乱 置乱度 置乱效果 数学模型 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]