Image Super-Resolution Based on CNN Using Multilabel Gene Expression Programming

Image Super-Resolution Based on CNN Using Multilabel Gene Expression Programming

Current mainstream super-resolution algorithms based on deep learning use a deep convolution neural network (CNN) framework to realize end-to-end learning from low-resolution (LR) image to high-resolution (HR) images, and have achieved good image restoration effects. However, as the number of layers...

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Bibliographic Details
Main Authors: Jiali Tang, Chenrong Huang, Jian Liu, Hongjin Zhu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
super-resolution (sr)
convolution neural network (cnn)
gene expression programming (gep)
deep learning
image preclassification
Online Access:https://www.mdpi.com/2076-3417/10/3/854

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https://www.mdpi.com/2076-3417/10/3/854

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