计算机应用与软件Issue(9)：198-200,275,4.DOI:10.3969/j.issn.1000-386x.2014.09.049
一种基于相关性和局部标准差的图像失焦模糊区域检测方法
A METHOD FOR DETECTING IMAGE DEFOCUS BLURRED REGION BASED ON CORRELATION COEFFICIENT AND LOCAL STANDARD DEVIATION
摘要
Abstract
As for detecting the blurred region of partially defocus blurred images,we present a simple and efficient detection method whichis based on correlation coefficient and local standard deviation.Through computing the logarithmic correlation coefficients of the neighbour-hoods of pixels in blurred image in their frequency domains and the local standard deviation in spatial domain,the method uses them as theevaluation indices in describing blur magnitude of each pixel,and then compares them with the preset thresholds to realise the detection ofdefocus blurred region.Experimental results show that this method can detect the blurred regions in defocus blurred images efficiently.关键词
失焦模糊/模糊特征/相关系数/标准差Key words
Defocus blur/Blur feature/Correlation coefficient/Standard deviation分类
信息技术与安全科学引用本文复制引用
咸兆勇,甘金明,玉振明,李陶深..一种基于相关性和局部标准差的图像失焦模糊区域检测方法[J].计算机应用与软件,2014,(9):198-200,275,4.基金项目
国家自然科学基金项目（61062014）。 （）
