政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/149884

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 109952/140887 (78%)
Visitors : 46370291 Online Users : 99

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/149884

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/149884

Title:	Rain2Avoid: Self-Supervised Single Image Deraining
Authors:	彭彥璁 Peng, Yan-Tsung;Li, Wei-Hua
Contributors:	資訊系
Keywords:	Image deraining;self-supervised;stochastic derained references
Date:	2023-06
Issue Date:	2024-02-16 15:36:56 (UTC+8)
Abstract:	The single image deraining task aims to remove rain from a single image, attracting much attention in the field. Recent research on this topic primarily focuses on discriminative deep learning methods, which train models on rainy images with their clean counterparts. However, collecting such paired images for training takes much work. Thus, we present Rain2Avoid (R2A), a training scheme that requires only rainy images for image deraining. We propose a locally dominant gradient prior to reveal possible rain streaks and overlook those rain pixels while training with the input rainy image directly. Understandably, R2A may not perform as well as deraining methods that supervise their models with rain-free ground truth. However, R2A favors when training image pairs are unavailable and can self-supervise only one rainy image for deraining. Experimental results show that the proposed method performs favorably against state-of-the-art few-shot deraining and self-supervised denoising methods.
Relation:	IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE
Data Type:	conference
DOI 連結:	https://doi.org/10.1109/ICASSP49357.2023.10097092
DOI:	10.1109/ICASSP49357.2023.10097092
Appears in Collections:	[資訊科學系] 會議論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	37	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...