Implementation of Super Resolution in Images Based on Generative Adversarial Network-Reference-Cited by-同舟云学术

Implementation of Super Resolution in Images Based on Generative Adversarial Network

Published:2022-04-21 Issue: Volume: Page:
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Container-title:2022 8th International Conference on Smart Structures and Systems (ICSSS)
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Author:

Reddy K. Srinivasa¹,Vijayan Vinodh P²,Gupta Ayan Das³,Singh Prabhdeep⁴,VIdhya R.G.⁵,Kapila Dhiraj⁶

Affiliation:

1. Teegala Krishna Reddy Engineering College,Department of Electronics and Communication Engineering,Hyderabad,India

2. Mangalam College of Engineering,Kottayam,Kerala,India

3. Chandernagore Government College,Postgraduate Department of Geography,Hugli,West Bengal,India

4. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India

5. HKBK College of Engineering,Department of Electronics and Communication Engineering,Bengaluru,Karnataka,India

6. Lovely Professional University,Department of Computer Science and Engineering,Phagwara,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9782157/9782158/09782170.pdf?arnumber=9782170

Reference15 articles.

1. Multiscale generative adversarial network for real-world super-resolution;ying;Concurrency and Computation Practice and Experience,2021

2. Stochastic super-resolution for downscaling time-evolving atmospheric fields with a generative adversarial network;jussi;IEEE Transactions on Geoscience and Remote Sensing,2020

3. Joint Face Super-Resolution and Deblurring Using Generative Adversarial Network

4. PET image super-resolution using generative adversarial networks;tzu-an;Neural Networks,2020

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