Convolutional Neural Networks Using Skip Connections with Layer Groups for Super-Resolution Image Reconstruction Based on Deep Learning

Convolutional Neural Networks Using Skip Connections with Layer Groups for Super-Resolution Image Reconstruction Based on Deep Learning

In this paper, we propose a deep learning method with convolutional neural networks (CNNs) using skip connections with layer groups for super-resolution image reconstruction. In the proposed method, entire CNN layers for residual data processing are divided into several layer groups, and skip connec...

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Bibliographic Details
Main Authors: Hyeongyeom Ahn, Changhoon Yim
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
convolutional neural networks
deep learning
super-resolution
image reconstruction
skip connection
layer group
Online Access:https://www.mdpi.com/2076-3417/10/6/1959

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