Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network

Deep convolutional neural networks (CNNs) are successful in single-image super-resolution. Traditional CNNs are limited to exploit multi-scale contextual information for image reconstruction due to the fixed convolutional kernel in their building modules. To restore various scales of image details,...

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Detalles Bibliográficos
Autores principales: Du, Xiaofeng, Qu, Xiaobo, He, Yifan, Guo, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876633/
https://www.ncbi.nlm.nih.gov/pubmed/29509666
http://dx.doi.org/10.3390/s18030789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876633/
https://www.ncbi.nlm.nih.gov/pubmed/29509666
http://dx.doi.org/10.3390/s18030789

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