Research Article
A Survey of Image Super Resolution Based on CNN
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@INPROCEEDINGS{10.1007/978-3-030-48513-9_15, author={Qianxiong Xu and Yu Zheng}, title={A Survey of Image Super Resolution Based on CNN}, proceedings={Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019}, proceedings_a={CLOUDCOMP}, year={2020}, month={6}, keywords={Single-image Super-resolution Deep learning DCNNs}, doi={10.1007/978-3-030-48513-9_15} }- Qianxiong Xu
Yu Zheng
Year: 2020
A Survey of Image Super Resolution Based on CNN
CLOUDCOMP
Springer
DOI: 10.1007/978-3-030-48513-9_15
Abstract
With the advent of the information age in contemporary society, images are everywhere, no matter in military use or in daily life. Therefore, as a medium for people to obtain information, images have become more and more important. With the fast development of deep convolution neural networks (DCNNs), Single-Image Super-Resolution (SISR) becomes one of the techniques that have made great breakthroughs in recent years. In this paper, we give a brief survey on the task of SISR. In general, we introduce the SR problem, some recent SR methods, public benchmark datasets and evaluation metrics. Finally, we conclude by denoting some points that could be further improved in the future.
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