Image Super-Resolution Reconstruction Based on a Generative Adversarial Network

Author:

Wu YunORCID,Lan LinORCID,Long HuiyunORCID,Kong GuangqianORCID,Duan XunORCID,Xu ChangzhuanORCID

Funder

National Natural Science Foundation of China

Science Planning Project of Guizhou Province, Guizhou Science and Technology Cooperation Platform Talent [2018]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 7 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. Design of a High-Resolution Video Reconstruction and Transcoding System based on Super-Resolution GAN;2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA);2022-10-14

2. Analysis of Single Image Super-Resolution Techniques: An Evolutionary Study;International Journal of Image and Graphics;2022-08-17

3. Image Super Resolution Using Deep Learning;2022 IEEE Ninth International Conference on Communications and Electronics (ICCE);2022-07-27

4. Estimation of Centroid Position of Silicon Particles Based on GAN and Visual Tracking;2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA);2021-12-17

5. Positron Image Super-Resolution Using Generative Adversarial Networks;IEEE Access;2021

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