Learning a Deep Convolutional Network for Image Super-Resolution
Published in European Conference on Computer Vi... (2014)
TL
TL;DR
This work proposes a deep learning method for single image super-resolution (SR) that directly learns an end-to-end mapping between the low/high-resolution images and shows that traditional sparse-coding-based SR methods can also be viewed as a deep convolutional network.