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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Vydané v:	Pattern recognition Ročník 148; s. 110205
Hlavní autori:	Wen, Yuanbo, Gao, Tao, Zhang, Jing, Zhang, Kaihao, Chen, Ting
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2024
Predmet:	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
On-line prístup:	Získať plný text
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