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Improving Image Super-Resolution Based on Multiscale Generative Adversarial Networks
Convolutional neural networks have greatly improved the performance of image super-resolution. However, perceptual networks have problems such as blurred line structures and a lack of high-frequency information when reconstructing image textures. To mitigate these issues, a generative adversarial ne...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394415/ https://www.ncbi.nlm.nih.gov/pubmed/35893009 http://dx.doi.org/10.3390/e24081030 |