Atmospheric turbulence degraded image restoration using a modified dilated convolutional network-Reference-Cited by-同舟云学术

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Atmospheric turbulence degraded image restoration using a modified dilated convolutional network

Published:2022-07-05 Issue:13 Volume:16 Page:3507-3517
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Su Changdong¹²³^ORCID,Wu Xiaoqing¹³,Guo Yiming¹²³,Zhang Shitai¹²³,Wang Zhiyuan¹³⁴,Shi Dongfeng¹³

Affiliation:

1. Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine Mechanics HFIPS Chinese Academy of Sciences Hefei China

2. Science Island Branch of Graduate School University of Science and Technology of China Hefei China

3. Advanced Laser Technology Laboratory of Anhui Province Hefei China

4. Institutes of Physical Science and Information Technology Anhui University Hefei China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12559

Reference34 articles.

1. Removing Atmospheric Turbulence via Space-Invariant Deconvolution

2. Non rigid geometric distortions correction - Application to atmospheric turbulence stabilization

3. Geometric correction of atmospheric turbulence-degraded video containing moving objects

4. Video stabilization of atmospheric turbulence distortion

Cited by 2 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. Monte Carlo-Based Restoration of Images Degraded by Atmospheric Turbulence;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024

2. Blind Restoration of Images Distorted by Atmospheric Turbulence Based on Deep Transfer Learning;Photonics;2022-08-18

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