Progressive perception-oriented network for single image super-resolution-Reference-Cited by-同舟云学术

Progressive perception-oriented network for single image super-resolution

Published:2021-02 Issue: Volume:546 Page:769-786
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Hui Zheng,Li Jie,Gao Xinbo^ORCID,Wang Xiumei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Learning a deep convolutional network for image super-resolution;Dong;ECCV,2014

2. Image super-resolution using deep convolutional networks;Dong;IEEE Trans. Pattern Anal. Mach. Intell.,2016

3. A phase congruency based patch evaluator for complexity reduction in multi-dictionary based single-image super-resolution;Zhou;Inf. Sci.,2016

4. Piecewise linear regression-based single image super-resolution via hadamard transform;Luo;Inf. Sci.,2018

5. Accelerating the super-resolution convolutional neural network;Dong;ECCV,2016

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