Survey of single image super‐resolution reconstruction

Survey of single image super‐resolution reconstruction

Image super‐resolution reconstruction refers to a technique of recovering a high‐resolution (HR) image (or multiple images) from a low‐resolution (LR) degraded image (or multiple images). Due to the breakthrough progress in deep learning in other computer vision tasks, people try to introduce deep n...

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Bibliographic Details
Main Authors: Kai Li, Shenghao Yang, Runting Dong, Xiaoying Wang, Jianqiang Huang
Format: Article
Language:English
Published: Wiley 2020-09-01
Series:IET Image Processing
Subjects:
generative adversarial network
super‐resolution images
popular CNN‐based deep learning method
GAN‐based deep learning method
LR–HR images
multiscale super‐resolution reconstruction
Online Access:https://doi.org/10.1049/iet-ipr.2019.1438

Internet

https://doi.org/10.1049/iet-ipr.2019.1438

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