Single Image Deraining by Fully Exploiting Contextual Information-Reference-Cited by-同舟云学术

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Single Image Deraining by Fully Exploiting Contextual Information

Published:2021-03-31 Issue: Volume: Page:
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Cao Xiaoxian,Hao Shijie,Xu Lei

Funder

National Natural Science Foundation of China

Shanghai Philosophy and Social Science Planning Project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-021-10486-x.pdf

Reference43 articles.

1. Zhang X, Li H, Qi Y, Leow WK, Ng TK (2006) Rain removal in video by combining temporal and chromatic properties. In: 2006 IEEE international conference on multimedia and expo, pp 461–464

2. Kim J-H, Sim J-Y, Kim C-S (2015) Video deraining and desnowing using temporal correlation and low-rank matrix completion. IEEE Trans Image Process 24(9):2658–2670

3. Liu J, Yang W, Yang S, Guo Z (2018) Erase or fill? Deep joint recurrent rain removal and reconstruction in videos. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3233–3242

4. Chen J, Tan C-H, Hou J, Chau L-P, Li H (2018) Robust video content alignment and compensation for rain removal in a CNN framework. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 6286–6295

5. Kang L-W, Lin C-W, Fu Y-H (2012) Automatic single-image-based rain streaks removal via image decomposition. IEEE Trans Image Process 21(4):1742–1755

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