基于自适应亮度基准漂移的十字路口交通图像增强处理研究  

A Method for Intersection Traffic Image Enhancement Based on Adaptive Brightness Baseline Drift

作　　者：刘操[1,2] 郑宏[1,2] 黎曦[2,3] 

机构地区：[1]武汉大学电子信息学院,湖北武汉430072 [2]湖北省视觉感知与智能交通技术研究中心,湖北武汉430072 [3]武汉工程大学电气信息学院,湖北武汉430205

出　　处：《武汉大学学报（信息科学版）》2015年第10期1381-1385,共5页Geomatics and Information Science of Wuhan University

基　　金：国家973计划资助项目(2012CB719905)~~

摘　　要：针对大多数增强方法未能同时考虑图像与光照强度、拍摄时间之间关系的问题,根据不同时刻的光照强度变化,提出了一种基于自适应亮度基准漂移的全天候十字路口交通图像的增强算法。首先依据不同时刻的光照变化建立亮度基准曲线,然后由亮度基准曲线和亮度实时反馈建立自适应亮度基准值模型,最后对图像的亮度分量运用亮度基准值模型自适应增强。实验结果证明该方法在全天候不同光照条件下图像增强的有效性以及不同天气条件下增强的鲁棒性。As most enhancement methods do not consider the simultaneous relationship among images,light intensity,and shooting times,this paper proposes an enhancement algorithm for all-weather intersection traffic images based on adaptive brightness baseline drift（ABBD）according to illumination variations at different times.The algorithm establishes a brightness benchmark curve according to the changing illumination at different times,and then an adaptive brightness benchmark model is set up based on the brightness benchmark curve and the real-time brightness feedback.The proposed algorithm uses the brightness benchmark model to enhance the brightness of the image adaptively.Experimental results show the method＇s effectiveness for image enhancement in all-weather and different light conditions,as well as its robustness under different weather conditions.

关 键 词：自适应亮度基准漂移 图像增强 十字路口 交通图像 

分 类 号：P237.3[天文地球—摄影测量与遥感]