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

doi:10.16383/j.aas.c190859

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	A Review of Single Image Super-resolution Reconstruction Algorithms Based on Deep Learning
	J.-X. Li; Y.-X. Zhao and J.-H. Wang
刊名	Zidonghua Xuebao/Acta Automatica Sinica
	2021
卷号	47 期号:10
ISSN号	2544156
DOI	10.16383/j.aas.c190859
英文摘要	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.
URL标识	查看原文
内容类型	期刊论文
源URL	[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).