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Single image super-resolution via Image Quality Assessment-Guided Deep Learning Network
In recent years, deep learning (DL) networks have been widely used in super-resolution (SR) and exhibit improved performance. In this paper, an image quality assessment (IQA)-guided single image super-resolution (SISR) method is proposed in DL architecture, in order to achieve a nice tradeoff betwee...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7595386/ https://ncbi.nlm.nih.gov/pubmed/33119656 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0241313 |
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