测试科学与仪器2026，Vol.17Issue(1)：88-96,9.DOI:10.62756/jmsi.1674-8042.2026007
基于负向雾浓度矫正的透射率补偿去雾算法
A dehazing algorithm of compensated transmission based on negative haze concentration correction
摘要
Abstract
Aiming at the problems such as halos,artifacts and incomplete dehazing in hazy image restoring processing,a dehazing algorithm of compensated transmission based on negative haze concentration correction is proposed.First of all,the error mechanism is used to compensate for the transmission of the dark channel prior(DCP),observing the relationships among transmission,depth of field,and haze concentration.A negative haze concentration model is constructed to adaptively correct the transmission of gamma in this study.Finally,the channel difference fusion-based median channel is proposed to correct local atmospheric veil and combined with the atmospheric scattering model to recover haze-free image.The experimental results show that the algorithm solves the problems of halos,artifacts and incomplete dehazing with outstanding details and appropriate brightness.关键词
图像去雾/补偿透射率/负向雾浓度/通道差异/局部大气光Key words
image dehazing/compensated transmission/negative haze concentration/channel difference/local atmospheric light引用本文复制引用
吕东霞,杨燕..基于负向雾浓度矫正的透射率补偿去雾算法[J].测试科学与仪器,2026,17(1):88-96,9.基金项目
This work was supported by College Industry Support Plan Project of Gansu Provincial Department of Education(No.2021CYZC-04). （No.2021CYZC-04）
