基于负向雾浓度矫正的透射率补偿去雾算法OA
A dehazing algorithm of compensated transmission based on negative haze concentration correction
针对雾天图像清晰化处理存在光晕、伪影、去雾不彻底等问题,提出一种基于负向雾浓度矫正补偿透射率的去雾算法.首先,利用误差机制对暗通道透射率进行补偿.其次,分析透射率、景深和雾浓度的关系,构造负向雾浓度模型对透射率进行自适应伽马矫正.最后,提出通道差异融合中通道修正大气光,结合大气散射模型恢复无雾图像.实验结果表明,所提出的算法解决了光晕、伪影、去雾不彻底等问题且恢复的图像细节突出、亮度适宜、色彩自然.
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.
吕东霞;杨燕
兰州交通大学 电子与信息工程学院,甘肃 兰州 730070兰州交通大学 电子与信息工程学院,甘肃 兰州 730070
图像去雾补偿透射率负向雾浓度通道差异局部大气光
image dehazingcompensated transmissionnegative haze concentrationchannel differencelocal atmospheric light
《测试科学与仪器》 2026 (1)
88-96,9
This work was supported by College Industry Support Plan Project of Gansu Provincial Department of Education(No.2021CYZC-04).
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