An interpretable lightweight deep network with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si102.svg" display="inline" id="d1e1781"><mml:mrow><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mn>0</mml:mn><mml:mo><</mml:mo><mml:mi>p</mml:mi><mml:mo><</mml:mo><mml:mn>1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math> model-driven for single image super-resolution-Reference-Cited by-同舟云学术

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An interpretable lightweight deep network with ℓp(0<p<1) model-driven for single image super-resolution

Published:2024-05 Issue: Volume:580 Page:127521
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhao Jianwei,Sun Zhongfan,Zhou Zhenghua,Wang Tingwei,Zhang Dabao,Yang Jian

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Elsevier BV

Reference41 articles.

1. Cardiac image super-resolution with global correspondence using multi-atlas patchmatch;Shi,2013

2. A novel image fusion method using ikonos satellite images;Yıldırım;J. Geod. Geoinf.,2012

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

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

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

Cited by 1 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 Lightweight Pyramid Feature Fusion Network for Single Image Super-Resolution Reconstruction;IEEE Signal Processing Letters;2024

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