Deep learning for image super-resolution: A survey

Image Super-Resolution (SR) is an important class of image processing techniqueso enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolution using deep learning techniques. This article aims to provide a comprehensive sur...

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Main Authors: WANG, Zhihao, CHEN, Jian, HOI, Steven C. H.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/sis_research/6958
https://ink.library.smu.edu.sg/context/sis_research/article/7961/viewcontent/DeepLearning_SuperRes_av.pdf
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spelling sg-smu-ink.sis_research-79612022-05-04T06:09:57Z Deep learning for image super-resolution: A survey WANG, Zhihao CHEN, Jian HOI, Steven C. H. Image Super-Resolution (SR) is an important class of image processing techniqueso enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolution using deep learning techniques. This article aims to provide a comprehensive survey on recent advances of image super-resolution using deep learning approaches. In general, we can roughly group the existing studies of SR techniques into three major categories: supervised SR, unsupervised SR, and domain-specific SR. In addition, we also cover some other important issues, such as publicly available benchmark datasets and performance evaluation metrics. Finally, we conclude this survey by highlighting several future directions and open issues which should be further addressed by the community in the future. 2021-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6958 info:doi/10.1109/TPAMI.2020.2982166 https://ink.library.smu.edu.sg/context/sis_research/article/7961/viewcontent/DeepLearning_SuperRes_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Image super-resolution deep learning convolutional neural networks (CNN) Generative adversarial nets (GAN) Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Image super-resolution
deep learning
convolutional neural networks (CNN)
Generative adversarial nets (GAN)
Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Image super-resolution
deep learning
convolutional neural networks (CNN)
Generative adversarial nets (GAN)
Databases and Information Systems
Numerical Analysis and Scientific Computing
WANG, Zhihao
CHEN, Jian
HOI, Steven C. H.
Deep learning for image super-resolution: A survey
description Image Super-Resolution (SR) is an important class of image processing techniqueso enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolution using deep learning techniques. This article aims to provide a comprehensive survey on recent advances of image super-resolution using deep learning approaches. In general, we can roughly group the existing studies of SR techniques into three major categories: supervised SR, unsupervised SR, and domain-specific SR. In addition, we also cover some other important issues, such as publicly available benchmark datasets and performance evaluation metrics. Finally, we conclude this survey by highlighting several future directions and open issues which should be further addressed by the community in the future.
format text
author WANG, Zhihao
CHEN, Jian
HOI, Steven C. H.
author_facet WANG, Zhihao
CHEN, Jian
HOI, Steven C. H.
author_sort WANG, Zhihao
title Deep learning for image super-resolution: A survey
title_short Deep learning for image super-resolution: A survey
title_full Deep learning for image super-resolution: A survey
title_fullStr Deep learning for image super-resolution: A survey
title_full_unstemmed Deep learning for image super-resolution: A survey
title_sort deep learning for image super-resolution: a survey
publisher Institutional Knowledge at Singapore Management University
publishDate 2021
url https://ink.library.smu.edu.sg/sis_research/6958
https://ink.library.smu.edu.sg/context/sis_research/article/7961/viewcontent/DeepLearning_SuperRes_av.pdf
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