基于改进暗通道先验理论的能见度估算  

Visibility Estimation Based on Improved Dark Channel Prior

作　　者：周磊 张昊睿 汪梦元 徐星臣 严伟明 胡斌 赵东 ZHOU Lei;ZHANG Hao-Rui;WANG Meng-Yuan;XU Xing-Chen;YAN Wei-Ming;HU Bin;ZHAO Dong(School of Electronics&Information Engineering,Nanjing University of Information Science&Technology,Nanjing 210044,China;School of Electronics and Information Engineering,Wuxi University,Wuxi 214105,China)

机构地区：[1]南京信息工程大学电子与信息工程学院,南京210044 [2]无锡学院电子信息工程学院,无锡214105

出　　处：《计算机系统应用》2025年第1期267-275,共9页Computer Systems & Applications

基　　金：国家自然科学基金(62105258);江苏省自然科学基金(BK20210064);无锡市创新创业资金“太湖之光”科技攻关计划(K20221046);无锡学院人才启动基金(2021r007)。

摘　　要：针对现有大气能见度检测方法易受主观因素和设备复杂度影响的问题,提出一种新型的图像处理估算的能见度算法.首先结合暗通道先验理论,提出一种基于图像亮度与饱和度差值的全局大气光值估计方法,进一步求解大气透射率;然后采用曲率滤波对透射率进行细化处理;接着,通过车道线检测技术和消光系数计算得出大气能见度估算值;最后,建立一个基于线性回归方程的能见度修正模型对大气能见度的估算值进行修正.实验结果验证了所提算法在雾霾天气下对交通监控场景中的能见度估算具有准确性和实用性.Existing methods for detecting atmospheric visibility are easily influenced by subjective factors and equipment complexity.To address this issue,this study proposes a new algorithm for estimating atmospheric visibility based on image processing.First,combined with the dark channel prior theory,a method for estimating global atmospheric light values,based on the difference between image brightness and saturation,is introduced to obtain the atmospheric transmittance.Next,curvature filtering is used to refine the transmittance.Then,atmospheric visibility is estimated through the lane line detection technology and the extinction coefficient.Finally,a visibility correction model based on a linear regression equation is established to correct the estimated atmospheric visibility.Experimental results show that the proposed algorithm is accurate and practical for visibility estimation in traffic monitoring scenes in foggy weather.

关 键 词：能见度估算 消光系数 车道线检测 修正模型 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]