From heavy rain removal to detail restoration: A faster and better network

The profound accumulation of precipitation during intense rainfall events can markedly degrade the quality of images, leading to the erosion of textural details. Despite the improvements observed in existing learning-based methods specialized for heavy rain removal, it is discerned that a significan...

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Veröffentlicht in:	Pattern recognition Jg. 148; S. 110205
Hauptverfasser:	Wen, Yuanbo, Gao, Tao, Zhang, Jing, Zhang, Kaihao, Chen, Ting
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2024
Schlagworte:	Detail reconstruction Dilated convolution Dual-stage network Pixel-wise attention Single image deraining Dual-stage network Dilated convolution Single image deraining Pixel-wise attention Detail reconstruction
ISSN:	0031-3203
Online-Zugang:	Volltext
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