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Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network
Deep convolutional neural networks (CNNs) are successful in single-image super-resolution. Traditional CNNs are limited to exploit multi-scale contextual information for image reconstruction due to the fixed convolutional kernel in their building modules. To restore various scales of image details,...
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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5876633/ https://ncbi.nlm.nih.gov/pubmed/29509666 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18030789 |
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