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Lightweight Single Image Super-Resolution with Selective Channel Processing Network

With the development of deep learning, considerable progress has been made in image restoration. Notably, many state-of-the-art single image super-resolution (SR) methods have been proposed. However, most of them contain many parameters, which leads to a significant amount of calculation consumption...

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Detalles Bibliográficos
Autores principales: Zhu, Hongyu, Tang, Hao, Hu, Yaocong, Tao, Huanjie, Xie, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332725/
https://www.ncbi.nlm.nih.gov/pubmed/35898091
http://dx.doi.org/10.3390/s22155586