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Application of a Modified Generative Adversarial Network in the Superresolution Reconstruction of Ancient Murals
Considering the problems of low resolution and rough details in existing mural images, this paper proposes a superresolution reconstruction algorithm for enhancing artistic mural images, thereby optimizing mural images. The algorithm takes a generative adversarial network (GAN) as the framework. Fir...
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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7785340/ https://ncbi.nlm.nih.gov/pubmed/33456451 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/6670976 |
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