Lightweight Multi-Scale Asymmetric Attention Network for Image Super-Resolution

Recently, with the development of convolutional neural networks, single-image super-resolution (SISR) has achieved better performance. However, the practical application of image super-resolution is limited by a large number of parameters and calculations. In this work, we present a lightweight mult...

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Detalles Bibliográficos
Autores principales: Zhang, Min, Wang, Huibin, Zhang, Zhen, Chen, Zhe, Shen, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778112/
https://www.ncbi.nlm.nih.gov/pubmed/35056219
http://dx.doi.org/10.3390/mi13010054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778112/
https://www.ncbi.nlm.nih.gov/pubmed/35056219
http://dx.doi.org/10.3390/mi13010054

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