Enhanced densely dehazing network for single image haze removal under railway scenes

Enhanced densely dehazing network for single image haze removal under railway scenes

Purpose – This paper aims to propose an enhanced densely dehazing network to suit railway scenes’ features and improve the visual quality degraded by haze and fog. Design/methodology/approach – It is an end-to-end network based on DenseNet. The authors design enhanced dense blocks and fuse them in a...

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Bibliographic Details
Main Authors: Ruhao Zhao, Xiaoping Ma, He Zhang, Honghui Dong, Yong Qin, Limin Jia
Format: Article
Language:English
Published: Emerald Publishing 2021-12-01
Series:Smart and Resilient Transportation
Subjects:
deep learning
haze removal
railway intelligent transportation system
railway monitoring system
Online Access:https://www.emerald.com/insight/content/doi/10.1108/SRT-12-2020-0029/full/pdf?title=enhanced-densely-dehazing-network-for-single-image-haze-removal-under-railway-scenes

Internet

https://www.emerald.com/insight/content/doi/10.1108/SRT-12-2020-0029/full/pdf?title=enhanced-densely-dehazing-network-for-single-image-haze-removal-under-railway-scenes

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