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An Efficient Residual-Based Method for Railway Image Dehazing
2020
Sensors
Preserved Fulltext
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]
2020
arXiv
pre-print
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
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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