现代信息科技2024，Vol.8Issue(1)：17-21,27,6.DOI:10.19850/j.cnki.2096-4706.2024.01.004
融合平均曲率与直方图分析的暗通道先验去雾算法
A Dark Channel Prior Dehazing Algorithm Combining Mean Curvature and Histogram Analysis
摘要
Abstract
A dark channel prior dehazing algorithm that combines mean curvature and histogram analysis is proposed to address the issues of edge blur,oversaturation,and misestimation of atmospheric light values in current dark channel prior algorithms.Firstly,calculate the mean curvature of all pixels on the micro geometric surface of the input image,and fuse the small-scale and large-scale transmission maps with the normalized mean curvature intensity as the weight;secondly,analyze the histograms of the three channels of the foggy image to determine whether there are overly bright areas and estimate the global atmospheric light value;finally,a clear dehazing image is obtained using the atmospheric scattering model.The experimental comparison with other algorithms on public datasets such as HAZERD shows that this algorithm can solve the problems of current dark channel algorithms and has higher robustness and effectiveness.关键词
图像去雾/暗通道/平均曲率/大气散射/大气光Key words
image dehazing/dark channel/mean curvature/atmospheric scattering/atmospheric light分类
信息技术与安全科学引用本文复制引用
程浩桐,耿一鸣,张海龙,尤杨杨..融合平均曲率与直方图分析的暗通道先验去雾算法[J].现代信息科技,2024,8(1):17-21,27,6.基金项目
济宁市重点研发计划(2021KJHZ013) （2021KJHZ013）
徐州市重点研发计划(社会发展)项目(KC22317) （社会发展）
