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Image Super-Resolution Using Deep Convolutional Networks.

Published in IEEE transactions on pattern analysis and machine intelligence • Feb 1, 2016
Authors:
Chao Dong
,
Chen Change Loy
,
Kaiming He

Abstract

We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represented as a deep convolutional neural network (CNN) that takes the low-resolution image as the input and outputs the ...

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