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Image Super-Resolution Reconstruction Method Based on Improved Generative Adversarial Network Cover

Image Super-Resolution Reconstruction Method Based on Improved Generative Adversarial Network

International Journal of Advanced Network, Monitoring and Controls
Volume 10 (2025): Issue 3 (September 2025)
By: Feng Xiong,  Jun Yu,  Zhiyi Hu,  Yu Li,  Chaoyi Dong and  Hongpei Zhang  
Open Access
|Sep 2025

Authors

Feng Xiong

1023465977@qq.com

School of Computer Science and Engineering Xi’an Technological University Xi’an, Shaanxi, China

Jun Yu

yujun@xatu.edu.cn

School of Computer Science and Engineering Xi’an Technological University Xi’an, Shaanxi, China

Zhiyi Hu

763757335@qq.com

Engineering Design Institute Army Research Loboratory Beijing, China

Yu Li

ly1351737248@163.com

School of Computer Science and Engineering Xi’an Technological University Xi’an, Shaanxi, China

Chaoyi Dong

545861148@qq.com

School of Computer Science and Engineering Xi’an Technological University Xi’an, Shaanxi, China

Hongpei Zhang

2464094384@qq.com

School of Computer Science and Engineering Xi’an Technological University Xi’an, Shaanxi, China
DOI: https://doi.org/10.2478/ijanmc-2025-0022 | Journal eISSN: 2470-8038
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Language: English
Page range: 11 - 19
Published on: Sep 30, 2025
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Image Super-Resolution,
Generative Adversarial Network,
Vision Transformer,
Self-Attention Mechanism
Related subjects:
Computer sciences,
Computer sciences, other

© 2025 Feng Xiong, Jun Yu, Zhiyi Hu, Yu Li, Chaoyi Dong, Hongpei Zhang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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