Multi‐feature fusion attention network for single image super‐resolution

Multi‐feature fusion attention network for single image super‐resolution

Abstract Single Image Super‐Resolution algorithms have made enormous progress in recent years. However, many previous Convolution Neural Network (CNN) based Super‐Resolution algorithms only stack uniform convolution layers of fixed kernel size, and frequently ignore inherent multi‐scale properties o...

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Bibliographic Details
Main Authors: Jiacheng Chen, Wanliang Wang, Fangsen Xing, Hangyao Tu
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:IET Image Processing
Subjects:
attention mechanism
hierarchy feature fusion
multi‐scale
single image super‐resolution
Online Access:https://doi.org/10.1049/ipr2.12721

Internet

https://doi.org/10.1049/ipr2.12721

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