四川轻化工大学学报（自然科学版）2024，Vol.37Issue(1)：43-50,8.DOI:10.11863/j.suse.2024.01.06
一种基于空域占比自适应暗通道去雾算法
An Adaptive Dark Channel Dehazing Algorithm Based on Airspace Proportion
摘要
Abstract
Aiming at the problem of color distortion in the sky region existing in the dark channel dehazing algorithm,an adaptive dark channel dehazing algorithm based on the proportion of airspace has been proposed.Firstly,the threshold iteration method is introduced into the algorithm to adaptively segment the sky area of the foggy image;then the proportion of the airspace of the foggy image is calculated.When the proportion is larger than the set threshold of 0.05,the average value of the top 1%of the highest brightness pixels in the sky area is regarded as the atmospheric light value,otherwise the weighted average is used to obtain the global atmospheric light value;for the non-sky area,the transmittance is still calculated according to the dark channel prior,and the correction factor is introduced into the sky area,and adaptively correct the sky region transmittance while refining it with guided filtering;finally,the haze-free image is recovered by an atmospheric scattering model.The experimental results show that the proposed algorithm improves the color distortion in the sky area,which effectively removes the fog of the image and restores the detailed information of the image,and the time complexity is reduced,which has certain advantages.关键词
空域占比/自适应算法/暗通道/图像去雾/引导滤波Key words
airspace proportion/adaptive algorithm/dark channel/image dehazing/guided filtering分类
信息技术与安全科学引用本文复制引用
尹宋麟,谭飞,周晴,鲜阳,赵亮..一种基于空域占比自适应暗通道去雾算法[J].四川轻化工大学学报（自然科学版）,2024,37(1):43-50,8.基金项目
四川省科技计划项目(2019YFSY0045) （2019YFSY0045）
省级大学生创新创业训练计划项目(S202010622100) （S202010622100）
