中山大学学报（自然科学版）2013，Vol.52Issue(4)：71-75,82,6.
基于均值滤波分频的直方图均衡方法
A Histogram Equalization Method Using Mean Filtering for Frequency Division
摘要
Abstract
A histogram equalization method is proposed.Firstly,The image is divided into low and high frequency use mean filtering.Then,various classical histogram equalization methods can be selected to deal with Low-frequency information and high-frequency information respectively,a new method of selecting appropriate adjustment factor is presented to suppress noise from different extent.Finally,the low and high frequency information is combined to reconstruct the whole image.Experiments show that the dynamic range of the image gray levels is stretched effectively with improving contrast,image detail is well retained,noise amplification and over-enhancement are also avoided.关键词
均值滤波/过增强/直方图均衡Key words
mean filtering / over-enhancement / histogram equalization分类
信息技术与安全科学引用本文复制引用
褚玉,李妮妮,刘军清,郭青,徐光柱..基于均值滤波分频的直方图均衡方法[J].中山大学学报（自然科学版）,2013,52(4):71-75,82,6.基金项目
国家自然科学基金资助项目(61272237) （61272237）
湖北省自然科学基金资助项目(2011CDC100) （2011CDC100）
湖北省教育厅重点项目(D20131306) （D20131306）
