New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution-Reference-Cited by-同舟云学术

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New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution

Published:2018-06 Issue: Volume: Page:
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Container-title:2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Bei Yijie,Damian Alex,Hu Shijia,Menon Sachit,Ravi Nikhil,Rudin Cynthia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8575058/8575239/08575285.pdf?arnumber=8575285

Cited by 16 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

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2. Super-resolution algorithm for the characterization of sweat glands in fingerprint OCT images;Journal of the Optical Society of America A;2023-10-24

3. Spatial and Channel Aggregation Network for Lightweight Image Super-Resolution;Sensors;2023-10-01

4. Single image super-resolution approaches in medical images based-deep learning: a survey;Multimedia Tools and Applications;2023-09-07

5. Twinned Residual Auto-Encoder (TRAE)—A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images;Expert Systems with Applications;2023-09

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