Continuous learning deraining network based on residual FFT convolution and contextual transformer module

Continuous learning deraining network based on residual FFT convolution and contextual transformer module

Abstract Single image deraining work has attracted a lot of attention. So an effective single image deraining network model, RFCTNet, is designed. Specifically, the residual Fast Fourier Transform convolution module is used as a baseline for the deraining network. The advantage is its ability to cap...

Full description

Bibliographic Details
Main Authors: Zhijia Zhang, Sinan Wu, Xinming Peng, Wanting Wang, Rui Li
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:IET Image Processing
Subjects:
contextual transformer
continuous learning
image deraining
residual FFT convolution module
Online Access:https://doi.org/10.1049/ipr2.12669

Internet

https://doi.org/10.1049/ipr2.12669

Similar Items