基于图像局部方差分布的自适应反锐化掩模算法  

An Adaptive Algorithm for Image Enhancement on Unsharp Masking

作　　者：刘明坤[1] 龙奕[2,3] 尹忠科[3] 

机构地区：[1]贵州大学教务处,贵州贵阳550003 [2]贵州大学电气工程学院,贵州贵阳550003 [3]西南交通大学信息科学与技术学院,四川成都610031

出　　处：《贵州大学学报（自然科学版）》2009年第1期51-54,共4页Journal of Guizhou University:Natural Sciences

基　　金：四川省应用基础研究项目(04JY029-059-2)

摘　　要：针对现有反锐化掩模法中的缺点,分析了人类的视觉特点。根据图像细节分区原理,利用试验参数和具体图像的局部方差分布获取图像修正因子增益,提出了一种有效的图像增强算法?基于图像局部方差分布的反锐化掩模算法。该算法从人类视觉特点出发同时兼顾具体图像的局部方差分布特征。A new simple efficient algorithm for image enhancement is presented in order to avoid the drawbacks that have occurred in the present unsharp masking （UM） technique--the high detail areas and noise of the image being enhanced together and the overshoot artifacts. This approach employs the differed scaling factor to enhance the detail areas and suppress the noise based on human visual propertiesl experimental and avoid big quantified noise using multi - slopes line. Experimental results show the algorithm presented in this paper is a competing techniques in which image visual impression is good and the algorithms is simple.

关 键 词：图像增强 反锐化掩模 局部方差 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]