Deep Learning Based Single Image Super-resolution: A Survey
文献类型：期刊论文
| 作者 | Viet Khanh Ha6; Jin-Chang Ren5,6; Xin-Ying Xu5; Sophia Zhao6; Gang Xie4; Valentin Masero3; Amir Hussain1,2 |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2019 |
| 卷号 | 16期号:4页码:413-426 |
| 关键词 | Image super-resolution convolutional neural network high-resolution image low-resolution image deep learning. |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-019-1183-x |
| 英文摘要 | Single image super-resolution has attracted increasing attention and has a wide range of applications in satellite imaging, medical imaging, computer vision, security surveillance imaging, remote sensing, objection detection, and recognition. Recently, deep learning techniques have emerged and blossomed, producing “the state-of-the-art” in many domains. Due to their capability in feature extraction and mapping, it is very helpful to predict high-frequency details lost in low-resolution images. In this paper, we give an overview of recent advances in deep learning-based models and methods that have been applied to single image super-resolution tasks. We also summarize, compare and discuss various models from the past and present for comprehensive understanding and finally provide open problems and possible directions for future research. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42347]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | 1.School of Computer Science and Technology, Anhui University, Anhui 230039, China 2.School of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UK 3.Department of Computer Systems and Telematics Engineering, University of Extremadura, Badajoz 06006, Spain 4.School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China 5.College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China 6.Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, UK |
| 推荐引用方式 GB/T 7714 | Viet Khanh Ha,Jin-Chang Ren,Xin-Ying Xu,et al. Deep Learning Based Single Image Super-resolution: A Survey[J]. International Journal of Automation and Computing,2019,16(4):413-426. |
| APA | Viet Khanh Ha.,Jin-Chang Ren.,Xin-Ying Xu.,Sophia Zhao.,Gang Xie.,...&Amir Hussain.(2019).Deep Learning Based Single Image Super-resolution: A Survey.International Journal of Automation and Computing,16(4),413-426. |
| MLA | Viet Khanh Ha,et al."Deep Learning Based Single Image Super-resolution: A Survey".International Journal of Automation and Computing 16.4(2019):413-426. |
入库方式： OAI收割
来源：自动化研究所
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