Multi-Branch Deep Residual Network for Single Image Super-Resolution

Multi-Branch Deep Residual Network for Single Image Super-Resolution

Recently, algorithms based on the deep neural networks and residual networks have been applied for super-resolution and exhibited excellent performance. In this paper, a multi-branch deep residual network for single image super-resolution (MRSR) is proposed. In the network, we adopt a multi-branch n...

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Bibliographic Details
Main Authors: Peng Liu, Ying Hong, Yan Liu
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Algorithms
Subjects:
single image super-resolution
deep neural networks
residual networks
peak signal-to-noise ratio
structural similarity index
Online Access:http://www.mdpi.com/1999-4893/11/10/144

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http://www.mdpi.com/1999-4893/11/10/144

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