High-Resolution Representations Network for Single Image Dehazing

Deep learning-based image dehazing methods have made great progress, but there are still many problems such as inaccurate model parameter estimation and preserving spatial information in the U-Net-based architecture. To address these problems, we propose an image dehazing network based on the high-r...

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Detalles Bibliográficos
Autores principales: Han, Wensheng, Zhu, Hong, Qi, Chenghui, Li, Jingsi, Zhang, Dengyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949864/
https://www.ncbi.nlm.nih.gov/pubmed/35336428
http://dx.doi.org/10.3390/s22062257

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949864/
https://www.ncbi.nlm.nih.gov/pubmed/35336428
http://dx.doi.org/10.3390/s22062257

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