Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and computational performance for single image super-resolution. In these methods, the low resolution (LR) input image is upscaled to the high resolution (HR) space using a sin...

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Bibliographic Details

Published in:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 1874 - 1883
Main Authors:	Wenzhe Shi, Caballero, Jose, Huszar, Ferenc, Totz, Johannes, Aitken, Andrew P., Bishop, Rob, Rueckert, Daniel, Zehan Wang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2016
Subjects:	Convolution Convolutional codes Feature extraction Image reconstruction Image resolution Interpolation Neural networks
ISSN:	1063-6919
Online Access:	Get full text
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