A spatiotemporal super-resolution algorithm for a hybrid stereo video system

Author:

Ge Jing,Liu Ju,Yuan Hui,Ge Chuan,Zhang Boyang

Funder

National Natural Science Foundation of China under Grants

Excellent Youth Scientist Award Foundation of Shandong Province under Grants BS

China Postdoctoral Science Foundation Funded Project under Grant

Open research fund of Sciences Key Laboratory of Wireless Sensor Network & Communication under Grant

Cultivation Fund the Key Scientific and Technical Innovation Project

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A review of missing video frame estimation techniques for their suitability analysis in NPP;Nuclear Engineering and Technology;2021-10

2. Optimization-Driven Kernel and Deep Convolutional Neural Network for Multi-View Face Video Super Resolution;International Journal of Digital Crime and Forensics;2020-07

3. Face video Super Resolution using Deep Convolutional Neural Network;2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2019-09

4. A fast temporal constraint semi-dense stereo matching method;Signal, Image and Video Processing;2019-03-08

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