颜色一致性的无人机航拍低光照图像增强算法  

Low illumination image enhancement algorithm for UAV aerial photography with color consistency

作　　者：王殿伟 刘旺 房杰 许志杰[2] WANG Dianwei;LIU Wang;FANG Jie;XU Zhijie(School of Communications and Information Engineering,Xi’an University of Posts&Telecommunications,Xi’an 710121,China;School of Computing and Engineering,University of Huddersfield,Huddersfield HD13DH,UK)

机构地区：[1]西安邮电大学通信与信息工程学院,西安710121 [2]哈德斯菲尔德大学计算机与工程学院,哈德斯菲尔德HD13DH

出　　处：《北京航空航天大学学报》2025年第4期1096-1106,共11页Journal of Beijing University of Aeronautics and Astronautics

基　　金：国家自然科学基金青年基金(62201454);陕西省国际科技合作计划(2023-GHYB-04)。

摘　　要：针对无人机(UAV)在低光照条件下拍摄的图像存在亮度低、视觉效果差等问题,建立了无人机航拍低光照数据集,提出了一种颜色一致性的无人机航拍低光照图像增强算法。在亮度增强阶段,构建亮度增强网络(BENet)来增强图像的亮度,利用颜色学习网络(CNet)模块和金字塔颜色嵌入(PCE)模块将图像的颜色特征和内容特征相结合,避免增强后的图像出现颜色失真;在图像校正阶段,构建基于域转移的校正网络,使用自建的数据集训练网络,借助光照良好图像来校正亮度增强阶段增强后的图像,减少噪声对图像的影响,得到增强后的图像。实验结果表明:所提算法可提升图像亮度,避免出现噪声放大和颜色失真的问题,在客观指标上,整体优于对比算法,同时还能提升目标检测算法在夜间的检测性能。To address the issue of low brightness and poor visual effect of unmanned aerial vehicles(UAVs)in low illumination conditions,this paper established a low illumination dataset of UAV aerial photography and proposed a low illumination image enhancement algorithm for UAV aerial photography with color consistency.Firstly,in the brightness enhancement stage,this paper constructed a brightness enhancement network(BENet)to enhance the brightness of images and used the color network(CNet)module and the pyramid color embedding(PCE)module to combine the color features and content features of the images,which avoided color distortion in the enhanced image.In the image correction stage,this paper constructed a correction network based on domain transmission,trained the network with the self-built dataset,corrected the enhanced image after the first stage with the help of well-illuminated images,reduced the effect of noise on the image,and finally obtained the enhanced image.The experimental results show that the algorithm effectively avoids the problems of color distortion and noise amplification while enhancing the image brightness,and it outperforms other advanced algorithms in terms of objective indicators and improves the detection performance of the target detection algorithm at night.

关 键 词：低光照图像增强 无人机航拍图像 亮度增强 颜色一致 图像去噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]