Single Image Super-Resolution Based on Global Dense Feature Fusion Convolutional Network

Deep neural networks (DNNs) have been widely adopted in single image super-resolution (SISR) recently with great success. As a network goes deeper, intermediate features become hierarchical. However, most SISR methods based on DNNs do not make full use of the hierarchical features. The features cann...

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Detalles Bibliográficos
Autores principales: Xu, Wang, Chen, Renwen, Huang, Bin, Zhang, Xiang, Liu, Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359588/
https://www.ncbi.nlm.nih.gov/pubmed/30646617
http://dx.doi.org/10.3390/s19020316

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359588/
https://www.ncbi.nlm.nih.gov/pubmed/30646617
http://dx.doi.org/10.3390/s19020316

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