Survey of single image super‐resolution reconstruction-Reference-Cited by-同舟云学术

Survey of single image super‐resolution reconstruction

Published:2020-07-23 Issue:11 Volume:14 Page:2273-2290
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Li Kai¹²,Yang Shenghao¹²,Dong Runting¹,Wang Xiaoying¹,Huang Jianqiang¹²

Affiliation:

1. State Key Laboratory of Plateau Ecology and Agriculture, Department of Computer Technology and ApplicationQinghai UniversityXiningQinghai810016People's Republic of China

2. Department of Computer Science and TechnologyTsinghua UniversityBeijing100084People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1438

Reference76 articles.

1. Interpolation for Super Resolution Imaging

2. Single-image super-resolution based on regularization with stationary gradient fidelity

3. Super-Resolution Imaging

4. SimonyanK. ZissermanA.: ‘Very deep convolutional networks for large‐scale image recognition’. arxiv [cs. cv]. 2014 2018

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