Lightweight image super-resolution with enhanced CNN-Reference-Cited by-同舟云学术

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Lightweight image super-resolution with enhanced CNN

Published:2020-10 Issue: Volume:205 Page:106235
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Tian Chunwei,Zhuge Ruibin,Wu Zhihao,Xu Yong,Zuo Wangmeng,Chen Chen,Lin Chia-Wen

Funder

National Nature Science Foundation of China

Shenzhen Key Laboratory of Visual Object Detection and Recognition

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference76 articles.

1. K. Zhang, W. Zuo, L. Zhang, Deep plug-and-play super-resolution for arbitrary blur kernels, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 1671–1681.

2. J. Xu, L. Zhang, D. Zhang, X. Feng, Multi-channel weighted nuclear norm minimization for real color image denoising, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 1096–1104.

3. Image super-resolution via adaptive sparse representation;Zhao;Knowl.-Based Syst.,2017

4. A benchmark for sparse coding: When group sparsity meets rank minimization;Zha;IEEE Trans. Image Process.,2020

5. Image super-resolution via sparse representation;Yang;IEEE Trans. Image Process.,2010

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