Residual Dense Network for Image Super-Resolution

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...

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Veröffentlicht in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition S. 2472 - 2481
Hauptverfasser:	Zhang, Yulun, Tian, Yapeng, Kong, Yu, Zhong, Bineng, Fu, Yun
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2018
Schlagworte:	Buildings Computer vision Convolution Feature extraction Fuses Image resolution Training
ISSN:	1063-6919
Online-Zugang:	Volltext
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