Deep Differential Convolutional Network for Single Image Super-Resolution

Deep Differential Convolutional Network for Single Image Super-Resolution

The deep convolutional neural networks and residual networks have shown great success and high-quality reconstruction for single image super-resolution. It is clearly seen that among the best-known super-resolution models, deep learning-based methods demonstrate state-of-the-art performance. In this...

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Bibliographic Details
Main Authors: Peng Liu, Ying Hong, Yan Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep convolutional neural networks
differential convolutional network
single image super-resolution
peak signal-to-noise ratio
structure similarity index metrics
Online Access:https://ieeexplore.ieee.org/document/8662556/

Internet

https://ieeexplore.ieee.org/document/8662556/

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