Decomposition Makes Better Rain Removal: An Improved Attention-Guided Deraining Network

Rain streaks in the air show diverse characteristics with different shapes, directions, densities, even the complex overlapped phenomenon, causing great challenges for the deraining task. Recently, deep learning based image deraining methods have been extensively investigated due to their excellent...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2021-10, Vol.31 (10), p.3981-3995
Hauptverfasser:	Jiang, Kui, Wang, Zhongyuan, Yi, Peng, Chen, Chen, Han, Zhen, Lu, Tao, Huang, Baojin, Jiang, Junjun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms attention mechanism Complexity Correlation Decomposition Deep learning Estimation Haze Image deraining Image restoration layer-wise learning Machine learning Neural networks non-local network Rain Raindrops Self-similarity Source code Task analysis Visual effects
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