Viet Khanh Ha
Deep Learning Based Single Image Super-Resolution: A Survey
Ha, Viet Khanh; Ren, Jinchang; Xu, Xinying; Zhao, Sophia; Xie, Gang; Vargas, Valentin Masero
Authors
Professor Jinchang Ren j.ren@rgu.ac.uk
Professor of Computing Science
Xinying Xu
Sophia Zhao
Gang Xie
Valentin Masero Vargas
Contributors
Professor Jinchang Ren j.ren@rgu.ac.uk
Editor
Amir Hussain
Editor
Jiangbin Zheng
Editor
Cheng-Lin Liu
Editor
Bin Luo
Editor
Huimin Zhao
Editor
Xinbo Zhao
Editor
Abstract
Image super-resolution is a process of obtaining one or more high-resolution image from single or multiple samples of low-resolution images. Due to its wide applications, a number of different techniques have been developed recently, including interpolation-based, reconstruction-based and learning-based. The learning-based methods have recently attracted increasing great attention due to their capability in predicting the high-frequency details lost in low resolution image. This survey mainly provides an overview on most of published work for single image reconstruction using Convolutional Neural Network. Furthermore, common issues in super-resolution algorithms, such as imaging models, improvement factor and assessment criteria are also discussed.
Citation
HA, V.K., REN, J., XU, X., ZHAO, S. XIE, G. and VARGAS, V.M. 2018. Deep learning based single image super-resolution: a survey. In Ren, J., Hussain, A., Zheng, J., Liu, C.-L., Luo, B., Zhao, H. and Zhao, X. (eds.) Advances in brain inspired cognitive systems: proceedings of 9th International conference brain inspired cognitive systems 2018 (BICS 2018), 7-8 July 2018, Xi'an, China. Lecture notes in computer sciences, 10989. Cham: Springer [online], pages 106-119. Available from: https://doi.org/10.1007/978-3-030-00563-4_11
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 9th International conference brain inspired cognitive systems 2018 (BICS 2018) |
Start Date | Jul 7, 2018 |
End Date | Jul 8, 2018 |
Acceptance Date | May 31, 2018 |
Online Publication Date | Oct 6, 2018 |
Publication Date | Dec 31, 2018 |
Deposit Date | Jun 30, 2022 |
Publicly Available Date | Jun 30, 2022 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Pages | 106-119 |
Series Title | Lecture notes in computer science |
Series Number | 10989 |
Book Title | Advances in brain inspired cognitive systems: proceedings of 9th International conference brain inspired cognitive systems 2018 (BICS 2018) |
ISBN | 9783030005627 |
DOI | https://doi.org/10.1007/978-3-030-00563-4_11 |
Keywords | Image super resolution; Convolutional neural network; High-resolution image |
Public URL | https://rgu-repository.worktribe.com/output/1699376 |
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Copyright Statement
This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-00563-4_11 Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/openresearch/policies/accepted-manuscript-terms.
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