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

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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Bibliographic Details
Main Authors: Wang Xu, Renwen Chen, Bin Huang, Xiang Zhang, Chuan Liu
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
dense feature fusion
convolutional neural network
image super-resolution
Online Access:http://www.mdpi.com/1424-8220/19/2/316

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