Video Super-Resolution Based on Spatial-Temporal Transformer

In this paper, we proposed a Spatial-Temporal Transformer (STTF) algorithm for video super resolution (SR), to solve the problem of blurs or artifacts after super resolve low-resolution (LR) video with traditional super resolution algorithm. Firstly, the algorithm uses residual blocks to extract ini...

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Bibliographic Details

Published in:	2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS) pp. 403 - 407
Main Authors:	Zheng, Minyan, Luo, Jianping, Cao, Wenming
Format:	Conference Proceeding
Language:	English
Published:	IEEE 07-11-2021
Subjects:	Feature extraction Mean square error methods Neural networks PSNR Spatial-Temporal fusion Superresolution Transformer Transformers Video sequences Video super resolution
Online Access:	Get full text
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