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Deeply Recursive Low- and High-Frequency Fusing Networks for Single Image Super-Resolution
With the development of researches on single image super-resolution (SISR) based on convolutional neural networks (CNN), the quality of recovered images has been remarkably promoted. Since then, many deep learning-based models have been proposed, which have outperformed the traditional SISR algorith...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766830/ https://www.ncbi.nlm.nih.gov/pubmed/33352901 http://dx.doi.org/10.3390/s20247268 |