Accurate Image Super-Resolution Using Very Deep Convolutional Networks

• Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 1646 - 1654
• Main Authors: Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2016
• Subjects: Convergence; Convolution; Image reconstruction; Signal resolution; Spatial resolution; Training

We present a highly accurate single-image superresolution (SR) method. Our method uses a very deep convolutional network inspired by VGG-net used for ImageNet classification [19]. We find increasing our network depth shows a significant improvement in accuracy. Our final model uses 20 weight layers....