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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Detalles Bibliográficos
Autores principales: Cao, Jianfang, Zhang, Zibang, Zhao, Aidi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785340/
https://www.ncbi.nlm.nih.gov/pubmed/33456451
http://dx.doi.org/10.1155/2020/6670976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785340/
https://www.ncbi.nlm.nih.gov/pubmed/33456451
http://dx.doi.org/10.1155/2020/6670976

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