MSFSA-GAN: Multi-Scale Fusion Self Attention Generative Adversarial Network for Single Image Deraining

MSFSA-GAN: Multi-Scale Fusion Self Attention Generative Adversarial Network for Single Image Deraining

Bad weather such as rainy days will seriously affect the image quality and the accuracy of visual processing algorithm. In order to improve the image deraining quality, a multi-scale fusion self attention generation adversarial network (MSFSA-GAN) is proposed. This network uses different scales to e...

Full description

Bibliographic Details
Main Authors: Wang Xue, Cheng Huan-Xin, Sun Sheng-Yi, Jiang Ze-Qin, Cheng Kai, Cheng Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Rain removal
MSFSA-GAN
self attention
dense block
Online Access:https://ieeexplore.ieee.org/document/9741786/

Similar Items

Similar Items