Retraction: A comprehensive review of deep learning-based single image super-resolution
- Published
- Subject Areas
- Algorithms and Analysis of Algorithms, Optimization Theory and Computation
- Keywords
- Copyright
- © 2022 PeerJ Editorial Office
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
- Cite this article
- 2022. Retraction: A comprehensive review of deep learning-based single image super-resolution. PeerJ Computer Science 8:e621 https://doi.org/10.7717/peerj-cs.621/retraction
Retraction: Following an investigation by PeerJ Computer Science the authors are in agreement that content in this publication (namely figures and concepts) was inappropriately reused from other published work (Wang, 2020). In consultation with PeerJ Computer Science, the authors request that the article be retracted.