图像去雾算法在结冰风洞中的应用研究  

Research on application of image dehazing algorithm in icing wind tunnel

作　　者：杨升科 倪章松[1,2] 肖春华[1,2] 王茂[1,2] YANG Shengke;NI Zhangsong;XIAO Chunhua;WANG Mao(State Key Laboratory of Aerodynamics,China Aerodynamics Research and Development Center,Mianyang 621000,China;Key Laboratory of Aircraft Icing and Anti/De-Icing,China Aerodynamics Research and Development Center,Mianyang 621000,China)

机构地区：[1]中国空气动力研究与发展中心空气动力学国家重点实验室,四川绵阳621000 [2]中国空气动力研究与发展中心飞行器结冰与防除冰重点实验室,四川绵阳621000

出　　处：《传感器与微系统》2020年第12期50-52,共3页Transducer and Microsystem Technologies

摘　　要：为了解决结冰风洞试验过程中,云雾场水滴散射、反射导致试验图像模糊,边缘和细节降低等问题,分别将同态滤波去雾算法和暗通道先验去雾算法应用于不同液态水含量的图像中,并通过主观和对比度增强评测方法对去雾质量进行测评。结果表明:两种去雾算法均能在一定程度上提升图像的质量。对比两种算法,在不同液态水含量的图像中,暗通道先验算法的去雾效果更优。In order to solve the problem of image blurred and edge and detail reduction caused by scattering and reflection of water droplets in cloud field during the icing wind tunnel test,the homomorphic filtering algorithm and the dark channel prior dehazing algorithm are used to deal with different liquid water content images respectively,and the dehazing quality is evaluated by subjective and contrast enhancement methods.The results show that both defogging algorithms can improve the image quality to some extent.Comparing the two algorithms,the dark channel prior algorithm has better defogging effect in images with different liquid water contents.

关 键 词：结冰风洞 图像去雾 同态滤波 暗通道先验 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]