A Review of Single Image Super-resolution Reconstruction Algorithms Based on Deep Learning

doi:10.16383/j.aas.c190859

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	A Review of Single Image Super-resolution Reconstruction Algorithms Based on Deep Learning
	J.-X. Li; Y.-X. Zhao and J.-H. Wang
	2021
发表期刊	Zidonghua Xuebao/Acta Automatica Sinica
ISSN	2544156
卷号	47 期号:10
摘要	Single image super-resolution (SISR) reconstruction is an important problem in the field of computer vision. It has important research significance and application value in security video surveillance, aircraft aerial photography and satellite remote sensing. In recent years, deep learning has made a breakthrough in many fields such as image classification, detection and recognition, and promoted the development of image super-resolution reconstruction technology. This paper first introduces the common public image datasets for single image super-resolution reconstruction. Then, the innovation and progress of single image super-resolution reconstruction based on deep learning are emphasized. Finally, the difficulties and challenges in the single image super-resolution reconstruction are discussed, and the future development trend is discussed. Copyright 2021 Acta Automatica Sinica. All rights reserved.
DOI	10.16383/j.aas.c190859
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收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/65604
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	J.-X. Li,Y.-X. Zhao and J.-H. Wang. A Review of Single Image Super-resolution Reconstruction Algorithms Based on Deep Learning[J]. Zidonghua Xuebao/Acta Automatica Sinica,2021,47(10).
APA	J.-X. Li,&Y.-X. Zhao and J.-H. Wang.(2021).A Review of Single Image Super-resolution Reconstruction Algorithms Based on Deep Learning.Zidonghua Xuebao/Acta Automatica Sinica,47(10).
MLA	J.-X. Li,et al."A Review of Single Image Super-resolution Reconstruction Algorithms Based on Deep Learning".Zidonghua Xuebao/Acta Automatica Sinica 47.10(2021).

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