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http://dx.doi.org/10.14372/IEMEK.2021.16.5.225

Deep Learning-based Deraining: Performance Comparison and Trends  

Cho, Minji (Sogang University)
Park, Ye-In (Sogang University)
Cho, Yubin (Sogang University)
Kang, Suk-Ju (Sogang University)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.16, no.5, 2021 , pp. 225-232 More about this Journal
Abstract
Deraining is one of the image restoration tasks and should consider a tradeoff between local details and broad contextual information while recovering images. Current studies adopt an attention mechanism which has been actively researched in natural language processing to deal with both global and local features. This paper classifies existing deraining methods and provides comparative analysis and performance comparison by using several datasets in terms of generalization.
Keywords
Attention; Deraining; Generalization; Rain removal; Unsupervised learning;
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  • Reference
1 X. Fu, B. Liang, Y. Huang, X. Ding, "Lightweight Pyramid Networks for Image Deraining.", IEEE Transactions on Neural Networks and Learning Systems, 2019.
2 S.W. Zamir, A. Arora, S. Khan, M. Hayat, "Multi-stage Progressive Image Restoration.", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.
3 N. Ahn, S.Y. Jo, S.J. Kang, "EAGNet: Elementwise Attentive Gating Network-Based Single Image De-raining with Rain Simplification.", IEEE Transactions on Circuits and Systems for Video Technology, 2021.
4 K. Jiang, Z. Wang, P. Yi, C. Chen, "Multi-scale Progressive Fusion Network for Single Image Deraining.", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020.
5 L. Chen, X. Lu, J. Zhang, X. Chu, "HINet: Half Instance Normalization Network for Image Restoration.", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.
6 C.Y. Wang, I.H. Yeh, H.Y.M. Liao, "You Only Learn One Representation: Unified Network for Multiple Tasks.", arXiv preprint, https://arxiv.org/abs/2105.04206, 2021.
7 https://github.com/kuijiang0802/MSPFN
8 S. Li, I.B. Araujo, W. Ren, Z. Wang, "Single Image Deraining: A Comprehensive Benchmark Analysis.", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.
9 R. Qian, R.T. Tan, W. Yang, J. Su, "Attentive Generative Adversarial Network for Raindrop Removal from a Single Image.", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.
10 X. Fu, J. Huang, D. Zeng, Y. Huang, "Removing Rain from Single Images via a Deep Detail Network", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017.
11 https://github.com/MaybeShewill-CV/attentive-gan-derainnet
12 https://xueyangfu.github.io/projects/LPNet.html
13 https://github.com/swz30/MPRNet