Prior-DualGAN: Rain rendering from coarse to fine

The success of deep neural networks (DNN) in deraining has led to increased research in rain rendering. In this paper, we introduce a novel Prior-DualGAN algorithm to synthesize diverse and realistic rainy/non-rainy image pairs to improve DNN training for deraining. More precisely, the rain streak p...

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Veröffentlicht in:	Signal processing. Image communication Jg. 129; S. 117170
Hauptverfasser:	Hu, Mingdi, Yang, Jingbing, Yu, Jianxun, Jing, Bingyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2024
Schlagworte:	Data-driven deep learning Generative adversarial network Multi-scale convolutional sparse coding Rain rendering Single image deraining Data-driven deep learning 0000 Rain rendering 1111 Generative adversarial network Single image deraining Multi-scale convolutional sparse coding
ISSN:	0923-5965
Online-Zugang:	Volltext
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