An unsupervised generative adversarial network for single image deraining
Abstract As the basis of image processing, single image deraining has always been a significant and challenging issue. Due to the lack of real rainy images and corresponding clean images, most deraining networks are trained by synthetic datasets, which makes the output images unsatisfactory in real...
| Main Authors: | , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
Wiley
2021-11-01
|
| Series: | IET Image Processing |
| Acceso en liña: | https://doi.org/10.1049/ipr2.12301 |