基于多尺度特征结合细节恢复的单幅图像去雾方法  

Single Image Dehazing Method Based on Multi-scale Features Combined with Detail Recovery

作　　者：张世辉[1,2] 路佳琪 宋丹丹 张晓微 ZHANG Shihui;LU Jiaqi;SONG Dandan;ZHANG Xiaowei(School of Information Science and Engineering,Yanshan University,Qinhuangdao 066004,China;The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province,Qinhuangdao 066004,China)

机构地区：[1]燕山大学信息科学与工程学院,秦皇岛066004 [2]河北省计算机虚拟技术与系统集成重点实验室,秦皇岛066004

出　　处：《电子与信息学报》2022年第11期3967-3976,共10页Journal of Electronics & Information Technology

基　　金：中央引导地方科技发展资金项目(216Z0301G);河北省自然科学基金(F2019203285)。

摘　　要：为提高单幅图像去雾方法的准确性及其去雾结果的细节可见性,该文提出一种基于多尺度特征结合细节恢复的单幅图像去雾方法。首先,根据雾在图像中的分布特性及成像原理,设计多尺度特征提取模块及多尺度特征融合模块,从而有效提取有雾图像中与雾相关的多尺度特征并进行非线性加权融合。其次,构造基于所设计多尺度特征提取模块和多尺度特征融合模块的端到端去雾网络,并利用该网络获得初步去雾结果。再次,构造基于图像分块的细节恢复网络以提取细节信息。最后,将细节恢复网络提取出的细节信息与去雾网络得到的初步去雾结果融合得到最终清晰的去雾图像,实现对去雾后图像视觉效果的增强。实验结果表明,与已有代表性的图像去雾方法相比,所提方法能够对合成图像及真实图像中的雾进行有效去除,且去雾结果细节信息保留完整。In order to improve the accuracy of the single image dehazing method and the detail visibility of its dehazing results,a single image dehazing method based on multi-scale features combined with detail recovery is proposed.Firstly,according to the distribution characteristics and imaging principles of haze in images,the multi-scale feature extraction module and the multi-scale feature fusion module are designed to extract effectively the haze-related multi-scale features in the hazy image and perform nonlinear weighted fusion.Secondly,the end-to-end dehazing network based on the designed multi-scale feature extraction module and multi-scale feature fusion module are constructed,and the preliminary dehazing results are obtained by using this network.Then,a detail recovery network based on image blocking is constructed to extract detail information.Finally,the detail information extracted from the detail recovery network is fused with the preliminary dehazing results obtained from the dehazing network to obtain the final clear dehazed image,which can enhance the visual effect of the dehazing images.The experimental results show that compared with the existing representative image dehazing methods,the proposed method can effectively remove the haze in the synthetic images and the real-world images,and the detailed information of the dehazing results is kept.

关 键 词：图像去雾 细节恢复 多尺度特征 非线性加权融合 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]