A Convolutional Neural Network for Image Super-Resolution Using Internal Dataset

A Convolutional Neural Network for Image Super-Resolution Using Internal Dataset

Deep convolutional neural networks have recently achieved dramatic success in super-resolution (SR) performance in the past few years. However, the parameters of the mapping functions of these networks require an external dataset for training. In this paper, we propose a convolutional network for im...

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Bibliographic Details
Main Authors: Jing Liu, Yuxin Xue, Shanshan Zhao, Shancang Li, Xiaoyan Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image super-resolution
convolutional neural network
internal dataset
arbitrary scale
enlargement
Online Access:https://ieeexplore.ieee.org/document/9249376/

Internet

https://ieeexplore.ieee.org/document/9249376/

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