Image Super-Resolution Algorithm Based on Dual-Channel Convolutional Neural Networks

Image Super-Resolution Algorithm Based on Dual-Channel Convolutional Neural Networks

For the image super-resolution method from a single channel, it is difficult to achieve both fast convergence and high-quality texture restoration. By mitigating the weaknesses of existing methods, the present paper proposes an image super-resolution algorithm based on dual-channel convolutional neu...

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Bibliographic Details
Main Authors: Yuantao Chen, Jin Wang, Xi Chen, Arun Kumar Sangaiah, Kai Yang, Zhouhong Cao
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
super-resolution
dual-channel
residual block
convolutional kernel parameter
long-term and short-term memory blocks
Online Access:https://www.mdpi.com/2076-3417/9/11/2316

Internet

https://www.mdpi.com/2076-3417/9/11/2316

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