Dehazing algorithm for adaptively corrected transmission under multiscale morphology  

多尺度形态学下的自适应透射率修正去雾算法

作　　者：ZHANG Shuai YANG Yan 张帅;杨燕(兰州交通大学电子与信息工程学院,甘肃兰州730070)

机构地区：[1]School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China

出　　处：《Journal of Measurement Science and Instrumentation》2024年第4期477-489,共13页测试科学与仪器（英文版）

基　　金：supported by National Natural Science Foundation of China(No.61561030);College Industry Support Plan Project of Gansu Provincial Department of Education(No.2021CYZC-04);Educational Reform Fund of Lanzhou Jiaotong University(No.JG201928)。

摘　　要：In order to solve the problems of color bias and visual deviation caused by inaccurate estimation of transmittance and atmospheric light in image defogging,a new algorithm based on multi-scale morphological reconstruction with adaptive transmittance and atmospheric light correction was proposed.Firstly,the algorithm used the open operation under morphological reconstruction to replace the minimum filter operation in the dark channel,and used the morphological edge to set the scale of the open operation structure elements,and constructed a multi-scale open operation fusion dark channel.After morphological noise reduction,the exact initial transmittance was obtained.According to the relationship between brightness and saturation difference and transmittance,an adaptive transmittance correction model was fitted with Gaussian function to correct the initial transmittance of the sky fog map.Then the local atmospheric light was improved according to the image brightness information and morphology closure operation.Finally,the proposed algorithm was combined with the atmospheric scattering model to obtain an accurate fog free image.The experimental results showed that the proposed algorithm was suitable for fog image restoration under various scenes,the restoration effect was good,and the brightness was suitable.针对图像去雾中由于透射率与大气光估计不准,导致复原结果偏色、出现视觉偏差等问题,本文提出一种基于多尺度形态学重构的自适应透射率与大气光修正的去雾算法。首先,该算法利用形态学重构下的开运算操作代替暗通道中最小值滤波操作,并利用图像形态学边缘设定开运算结构元素尺度,构造一种多尺度的开运算融合暗通道。并经过形态学消噪处理后,得到精确初始透射率。对于含天空雾图暗通道失效的问题,依照雾图中亮度和饱和度差异与透射率的关系,结合高斯函数拟合一种自适应透射率修正模型,对含天空雾图的初始透射率进行修正。然后,根据图像亮度信息与形态学闭运算改进局部大气光。最后,结合所提算法与大气散射模型获得准确的无雾图像。实验结果表明,本文所提算法适用于多种场景下的雾图复原,且复原效果良好,明亮度适宜。

关 键 词：image dehazing morphological reconfiguration multi-scale fusion dark channel adaptive correction multi-scene recovery 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]