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An Efficient Residual-Based Method for Railway Image Dehazing

Qinghong Liu, Yong Qin, Zhengyu Xie, Zhiwei Cao, Limin Jia
2020 Sensors  
Under haze conditions, railway monitoring and staff vision could be blurred, threatening railway safety. This paper tackles image dehazing for railways.  ...  The contributions of this paper for railway video image dehazing are as follows: (1) this paper proposes an end-to-end residual block-based haze removal method that consists of two subnetworks, namely  ...  [35] proposed a Haze-Aware Representation Distillation GAN (HardGAN) method to fuse global atmospheric brightness and local spatial structures for image dehazing. Liu et al.  ... 
doi:10.3390/s20216204 pmid:33143354 fatcat:ssu4rn3fzzazzlypgjqc56rxby

Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation [article]

Yuki Fujimura, Motoharu Sonogashira, Masaaki Iiyama
2020 arXiv   pre-print
We also propose a method of estimating scattering parameters, such as airlight, and a scattering coefficient, which are required for our dehazing cost volume.  ...  We propose a learning-based multi-view stereo (MVS) method in scattering media, such as fog or smoke, with a novel cost volume, called the dehazing cost volume.  ...  This results also indicate that the proposed aware representation distillation gan for single image dehaz- method can reconstruct distant regions with large im- ing.  ... 
arXiv:2011.09114v2 fatcat:5pwbvtlb3jbejctoib7v6kqpci