Lightweight and Efficient Image Dehazing Network Guided by Transmission Estimation from Real-World Hazy Scenes

In this paper, a transmission-guided lightweight neural network called TGL-Net is proposed for efficient image dehazing. Unlike most current dehazing methods that produce simulated transmission maps from depth data and haze-free images, in the proposed work, guided transmission maps are computed aut...

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Detalles Bibliográficos
Autores principales: Li, Zhan, Zhang, Jianhang, Zhong, Ruibin, Bhanu, Bir, Chen, Yuling, Zhang, Qingfeng, Tang, Haoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867112/
https://www.ncbi.nlm.nih.gov/pubmed/33535456
http://dx.doi.org/10.3390/s21030960

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867112/
https://www.ncbi.nlm.nih.gov/pubmed/33535456
http://dx.doi.org/10.3390/s21030960

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