海洋环境下摄像机图像去雾技术研究  

Research on Technologies for Camera Image Defogging in Marine Environment

作　　者：王鹏飞 刘岩 蔡晓晰 陶劲松 肖伟[2] WANG Peng-fei;LIU Yan;CAI Xiao-xi;TAO Jin-song;XIAO Wei(The 2th Military Representative Office of Naval Equipment in Shanghai,Shanghai 200129;The 52nd Research Institute of China Electronics Technology Group Corporation,Hangzhou,311121)

机构地区：[1]海军装备部驻上海地区第二军事代表室,上海200129 [2]中国电子科技集团公司第五十二研究所,杭州311121

出　　处：《环境技术》2024年第5期55-60,66,共7页Environmental Technology

摘　　要：针对海洋雾气环境下摄像机类设备图像对比度低、能见度差的问题,提出了一种基于图像前处理的单图融合增强去雾方法,首先对大气辉光分量进行校正,其次结合图像传感器R通道透射率高的特征利用小波融合技术提升图像细节,最后利用导向滤波器以进行图像去雾增强,通过实际浓雾环境下采集的图像对比处理实验验证了所提出方法的可行性、有效性。Aiming at the problems of the low image contrast and poor visibility issues of camera devices in marine fog environments,a single-image fusion-enhanced dehazing technique based on image preprocessing is proposed.Firstly,correction of the atmospheric glow component is conducted.Secondly,combining the characteristics of high transmission rate in the R channel of image sensors,a detail improved image is obtained using wavelet transform and blending.Finally,the guided-filter is used to enhance the image dehazing.The effectiveness and feasibility of the proposed dehazing method are validated through comparative analysis of algorithm processing effects on images collected in actual dense fog environments.

关 键 词：图像去雾 海雾:大气散射模型:辉光校正:图像增强 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]