Structural residual learning for single image rain removal

To alleviate the adverse effect of rain streaks in image processing tasks, CNN-based single image rain removal methods have been recently proposed. However, the performance of these deep learning methods largely relies on the covering range of rain shapes contained in the pre-collected training rain...

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Bibliographic Details
Published in:	Knowledge-based systems Vol. 213; p. 106595
Main Authors:	Wang, Hong, Wu, Yichen, Xie, Qi, Zhao, Qian, Liang, Yong, Zhang, Shijun, Meng, Deyu
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 15.02.2021 Elsevier Science Ltd
Subjects:	Computer architecture Deep learning Experiments Generalization Generalization performance Image processing Interpretability Learning Multi-scale convolutional sparse coding Networks Prior knowledge Rain Regularization Side effects Single image deraining Training Deep learning Generalization performance Single image deraining Interpretability Multi-scale convolutional sparse coding
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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