EAGNet: Elementwise Attentive Gating Network-Based Single Image De-Raining With Rain Simplification-Reference-Cited by-同舟云学术

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EAGNet: Elementwise Attentive Gating Network-Based Single Image De-Raining With Rain Simplification

Published:2022-02 Issue:2 Volume:32 Page:608-620
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Ahn Namhyun^ORCID,Jo So Yeon,Kang Suk-Ju^ORCID

Funder

MSIT (Ministry of Science and ICT), Korea, under the ITRC

IITP

National Research Foundation of Korea(NRF) grant funded by the Korea governmen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9702151/09387346.pdf?arnumber=9387346

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SE-RRACycleGAN: Unsupervised Single-Image Deraining Using Squeeze-and-Excitation-Based Recurrent Rain-Attentive CycleGAN;Remote Sensing;2024-07-19

2. Deep single image deraining using an asymmetric cyclic generative and adversarial framework;Applied Intelligence;2024-04

3. Single image deraining using scale constraint iterative update network;Expert Systems with Applications;2024-02

4. Video Demoiréing With Deep Temporal Color Embedding and Video-Image Invertible Consistency;IEEE Transactions on Multimedia;2024

5. Focusing on features with higher importance degree: A significance-wise mechanism for image restoration;Digital Signal Processing;2023-11

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