计算机工程2011，Vol.37Issue(18)：219-221,3.
图像局部模糊的自动检测方法
Automatic Detection Method for Local Image Blur
摘要
Abstract
Aiming at the problem that images may be partially blurred because of moving object or out of focus. This paper proposes a method consisting of two steps for detect and extract the blur region automatically. To realize rough position of the blurry and the non-blurry regions, it combines Gaussian mixture model of image gradients in spatial domain and the statistical analysis of power spectrum in frequency domain. According to the results of the rough position, it uses the improved lazy snapping method to realize automatic and precise extraction of the blur area. Experimental results demonstrate the efficiency of the method.关键词
局部模糊/自动检测/高斯混合模型/功率谱/懒惰抠图Key words
local blur/ automatic detection/ Gaussian mixture model/ power spectrum/ lazy snapping分类
信息技术与安全科学引用本文复制引用
吴昊,方贤勇,罗斌,贺彪..图像局部模糊的自动检测方法[J].计算机工程,2011,37(18):219-221,3.基金项目
国家自然科学基金资助项目(61003131) （61003131）
安徽省教育厅高等教育科学研究基金资助重点项目(KJ2010A010) （KJ2010A010）
安徽大学青年科学研究基金资助重点项目(2009QN009A) （2009QN009A）
