基于容差机制与超像素的阈值暗通道去雾改进算法  

Improved threshold dark channel dehazing algorithm based on tolerance mechanism and superpixel

作　　者：何柯辰 刘奇[2] 邓小波 陈曦 全美霖 陈奕涵 HE Kechen;LIU Qi;DENG Xiaobo;CHEN Xi;QUAN Meilin;CHEN Yihan(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;College of Bilmedical Engineering,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川大学电气工程学院,四川成都610065 [2]四川大学生物医学工程学院,四川成都610065

出　　处：《传感器与微系统》2023年第5期147-151,共5页Transducer and Microsystem Technologies

摘　　要：针对暗通道先验算法在天空区域失效和易产生光晕的问题,提出一种基于容差机制与超像素的阈值暗通道去雾改进算法。首先,使用超像素算法将图像分割为景深一致的局部块,用局部块替换暗通道先验算法的固定方块;然后,通过计算局部块内元素的方差来判断离散程度,根据离散程度选择不同的暗通道计算策略;最后,在HSV空间中定位高亮区域,并用容差机制对高亮区域的透射率进行修正。实验结果表明,该算法能有效去除天空区域浓雾,并能改善光晕效应。Aiming at the problem that the dark channel prior algorithm fails in the sky area and is prone to halo,an improved algorithm for threshold dark channel defogging based on tolerance mechanism and superpixels is proposed.Firstly,the superpixel algorithm is employed to segment the image into local blocks with the same depth of field,which is applied to replace the fixed blocks of the dark channel prior algorithm.Then,by calculating the variance of the elements in the local block,the degree of dispersion is judged,and based on the degree of dispersion different options of dark channel calculation strategy are selected.Finally,the highlighted area is located in the HSV space,and the tolerance mechanism is utilized to correct the transmittance of the highlighted area.Experimental results show that the algorithm can effectively remove the dense fog in the sky area and improve the halo effect.

关 键 词：图像去雾 阈值暗通道 超像素块 容差机制 加权引导滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]