Attention Network with Information Distillation for Super-Resolution

Resolution is an intuitive assessment for the visual quality of images, which is limited by physical devices. Recently, image super-resolution (SR) models based on deep convolutional neural networks (CNNs) have made significant progress. However, most existing SR models require high computational co...

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Detalles Bibliográficos
Autores principales: Zang, Huaijuan, Zhao, Ying, Niu, Chao, Zhang, Haiyan, Zhan, Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497852/
https://www.ncbi.nlm.nih.gov/pubmed/36141112
http://dx.doi.org/10.3390/e24091226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497852/
https://www.ncbi.nlm.nih.gov/pubmed/36141112
http://dx.doi.org/10.3390/e24091226

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