Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2500-2505,2519

Multi-branch single image deraining network based on Transformer

Tan Fuxiang1a,1b,2
Qian Yurong1a,1b,2
Kong Yuting1a,1b,2
Zhang Hao1a,1b,2
Zhou Daxin1a,1b,2
Fan Yingying1a,1b,2
Chen Long1a,1b,2
1. a. College of Software, b. Key Laboratory of Software Engineering, Xinjiang University, Urumqi 830046, China
2. Key Laboratory of Signal Detection & Processing in Xinjiang Uygur Autonomous Region, Urumqi 830046, China
DOI: 10.19734/j.issn.1001-3695.2021.12.0695

Abstract

Rain streaks can seriously degrade the quality of captured images and affect subsequent computer vision tasks. In order to improve the quality of rainy images, this paper proposed a single-image deraining algorithm based on Transformer. Firstly, the algorithm obtained a wide range of receptive fields through the Transformer with window mechanism, and then obtained the contextual information of rain streak features to improve the ability of the model to extract rain streak features. Secondly, the algorithm extracted and fused different kinds and levels of features through multi-branch modules to improve the model's ability to characterize complex rain streaks information. Finally, this paper fused the shallow features and deep features through residual connections to complete the missing details in the deep features, which enhanced the expression ability of the network. The experimental results on the public datasets Rain100L, Rain100H and the private dataset Rain3000 show that the method is more effective in removing rain streaks compared to existing algorithms while better recovering the lost background texture information in the images. PSNR and SSIM have respectively reached 38.33/0.985 5, 28.42/0.900 0 and 34.51/0.964 3.

Foundation Support

国家自然科学基金资助项目(61966035)
国家自然科学基金联合基金资助项目(U1803261)
自治区科技厅国际合作项目(2020E01023)
智能多模态信息处理团队项目(XJEDU2017T002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0695
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Technology of Graphic & Image
Pages: 2500-2505,2519
Serial Number: 1001-3695(2022)08-045-2500-06

Publish History

[2022-03-18] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

谭富祥, 钱育蓉, 孔钰婷, 等. 基于Transformer的多分支单图像去雨方法 [J]. 计算机应用研究, 2022, 39 (8): 2500-2505,2519. (Tan Fuxiang, Qian Yurong, Kong Yuting, et al. Multi-branch single image deraining network based on Transformer [J]. Application Research of Computers, 2022, 39 (8): 2500-2505,2519. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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