Temporal Coherent Video Super-resolution via Pre-frame-constrained Sparse Reconstruction-Reference-Cited by-同舟云学术

Temporal Coherent Video Super-resolution via Pre-frame-constrained Sparse Reconstruction

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of Computer Graphics International 2018 on - CGI 2018
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Author:

Lai Qiuxia¹,Nie Yongwei²,Zhang Zhensong¹,Sun Hanqiu¹

Affiliation:

1. The Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong, China

2. South China University of Technology, School of Computer Science and Engineering, Guangzhou, China

Funder

The National Natural Science Foundation of China (NSFC)

The Science and Technology Project of Guangzhou City

University Grants Committee (Hong Kong)

Publisher

ACM Press

Reference39 articles.

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3. Qiqin Dai, Seunghwan Yoo, Armin Kappeler, and Aggelos K Katsaggelos. 2015. Dictionary-based multiple frame video super-resolution. In Image Processing (ICIP), 2015 IEEE International Conference on. IEEE, 83--87.

4. Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang. 2016. Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence 38, 2 (2016), 295--307.

5. Chao Dong, Chen Change Loy, and Xiaoou Tang. 2016. Accelerating the super-resolution convolutional neural network. In European Conference on Computer Vision. Springer, 391--407.