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Towards Robust Rain Removal with Unet++

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成果类型:
期刊论文
作者:
Hu, Boxia;Sun, Yaqi;Yang, Yufei;Ouyang, Ze;Zhang, Feng
通讯作者:
Hu, Boxia(happylife008@163.com)
作者机构:
[Yang, Yufei; Hu, Boxia] Hunan Univ, Sch Math, Changsha 410082, Peoples R China.
[Hu, Boxia] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421002, Peoples R China.
[Ouyang, Ze; Sun, Yaqi; Zhang, Feng] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Peoples R China.
[Yang, Yufei] Changsha Univ, Sch Math, Changsha 410022, Peoples R China.
通讯机构:
[Hu, B.] S
School of Mathematics, China
语种:
英文
关键词:
Rain removal;edge optimization;robust;Unet plus plus
期刊:
计算机、材料和连续体(英文)
ISSN:
1546-2218
年:
2023
卷:
75
期:
1
页码:
879-890
基金类别:
Funding Statement: This work was supported by National Natural Science Foundation of China (61772179), Hunan Provincial Natural Science Foundation of China (2022JJ50016, 2020JJ4152), the Science and Technology Plan Project of Hunan Province (2016TP1020), Scientific Research Fund of Hunan Provincial Education Department (21B0649), Application-Oriented Characterized Disciplines, Double First-Class University Project of Hunan Province (Xiangjiaotong [2018]469), Discipline Special Research Projects of Hengyang Normal University (Grant No. XKZX21002).
机构署名:
本校为其他机构
院系归属:
数学与统计学院
计算机科学与技术学院
摘要:
Image deraining has become a hot topic in the field of computer vision. It is the process of removing rain streaks from an image to reconstruct a high-quality background. This study aims at improving the performance of image rain streak removal and reducing the disruptive effects caused by rain. To better fit the rain removal task, an innovative image deraining method is proposed, where a kernel prediction network with Unet++ is designed and used to filter rainy images, and rainy-day images are used to estimate the pixel-level kernel for rain r...

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