Hybrid Perceptual Structural and Pixelwise Residual Loss Function based Image Super-Resolution-Reference-Cited by-同舟云学术

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Hybrid Perceptual Structural and Pixelwise Residual Loss Function based Image Super-Resolution

Published:2024-03-01 Issue: Volume: Page:
ISSN:
Container-title:2024 3rd International Conference for Innovation in Technology (INOCON)
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Author:

Singla Shivam¹,Bohat Vijay Kumar¹,Aggarwal Manav¹,Mehta Yatin¹

Affiliation:

1. Netaji Subhas University of Technology,Department of Computer Science and Engineering,New Delhi,India,110078

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511271/10511093/10511465.pdf?arnumber=10511465

Reference21 articles.

1. Deep Single Image Super-Resolution with Neural Network;Wang;Journal of Super-Resolution,2020

2. Generative Adversarial Networks for Single Image Super-Resolution;Zhang

3. Perceptual-Driven Adversarial Training for Single Image Super-Resolution;Li;International Journal of Computer Vision,2022

4. Real-Time Single Image Super-Resolution with Efficient Neural Network;Liu;IEEE Transactions on Image Processing,2020

5. Residual Learning for Single Image Super-Resolution;Chen

Cited by 1 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. An Attention Feature Interaction Change Detection Method Based on Detail Enhancement for Dual-Temporal Hyperspectral Images;IEEE Geoscience and Remote Sensing Letters;2024

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