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基于亮区域检测的图像去雾增强方法
引用本文:叶志鹏,贾睿,宁雷,付继伟,崔利军. 基于亮区域检测的图像去雾增强方法[J]. 导弹与航天运载技术, 2021, 7(1): 115-120. DOI: 10.7654/j.issn.1004-7182.20210122
作者姓名:叶志鹏  贾睿  宁雷  付继伟  崔利军
作者单位:北京宇航系统工程研究所,北京,100076;太原卫星发射中心,太原,030027
摘    要:海上发射和回收运载火箭获取的视频图像易受海雾的影响导致成像质量下降.针对传统暗通道先验去雾方法对天空等亮区域失效的不足,提出一种结合图像亮区域检测和图像增强的改进暗通道图像去雾方法.首先利用阈值分割检测原始图像的亮区域,并分别计算亮区域和暗区域的大气光和透射率.然后利用双边滤波对图像透射率进行优化,最后,利用图像增强方...

关 键 词:图像处理  雾图像恢复  暗通道

Image Defogging Enhancement Method Based on Bright Region Detection
Ye Zhi-peng,Jia Rui,Ning Lei,Fu Ji-wei,Cui Li-jun. Image Defogging Enhancement Method Based on Bright Region Detection[J]. Missiles and Space Vehicles, 2021, 7(1): 115-120. DOI: 10.7654/j.issn.1004-7182.20210122
Authors:Ye Zhi-peng  Jia Rui  Ning Lei  Fu Ji-wei  Cui Li-jun
Affiliation:(Beijing Institute of Aerospace Systems Engineering,Beijing,100076;Taiyuan Satellite Launch Center,Taiyuan,030027)
Abstract:To solve the deficiency of the traditional dark channel prior defogging method in the failure of the sky equal bright area,an improved dark channel image defogging method combining image bright area detection and image enhancement is proposed.Firstly,the light region of the original image is detected by threshold segmentation,and the atmospheric light and transmittance of the light region and the dark region are calculated respectively.At last,the image enhancement method is used to further optimize the restored image to solve the problem of low brightness of the restored image.The bi-filtering algorithm is optimized to solve the problems of slow speed and impact on engineering application.The experimental results show that the restored image has a good visual effect,and the running speed meets the requirements of engineering application.
Keywords:image processing  fog image recovery  dark channel method
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