Residual Dense Network for Image Super-Resolution

• Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 2472 - 2481
• Main Authors: Zhang, Yulun, Tian, Yapeng, Kong, Yu, Zhong, Bineng, Fu, Yun
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2018
• Subjects: Buildings; Computer vision; Convolution; Feature extraction; Fuses; Image resolution; Training

A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well. However, most deep CNN based SR models do not make full use of the hierarchical features from the original low-resolution (LR) images, thereby...