AN RDN-based image super-resolution method using Meta-learning-Reference-Cited by-同舟云学术

AN RDN-based image super-resolution method using Meta-learning

Published:2022-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Communication and Information Processing
language:
Short-container-title:

Author:

Wang Jue¹^ORCID,Xu Hao¹^ORCID,Qiao Dan¹^ORCID,Tian Yumo²^ORCID

Affiliation:

1. College of Computer Science and Technology, Chongqing University of Technology, China

2. School of Electronic Information Engineering, Beihang University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3571662.3571673

Reference43 articles.

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2. Mahapatra D Bozorgtabar B and Garnavi R. 2019. Image super-resolution using progressive generative adversarial networks for medical image analysis. Comput Med Imaging Graph. 2019 Jan; 71:30-39. doi: 10.1016/j.compmedimag.2018.10.005. Epub 2018 Nov 16. PMID: 30472408.

3. Video Super-Resolution With Convolutional Neural Networks

4. A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution

5. Dong C, Loy C C , He K, and Tang X . 2014. Learning a deep convolutional network for image super-resolution . In Proceedings of the European Conference on Computer Vision (ECCV). Springer Dong C, Loy C C, He K, and Tang X. 2014. Learning a deep convolutional network for image super-resolution. In Proceedings of the European Conference on Computer Vision (ECCV). Springer