Multi-Resolution Space-Attended Residual Dense Network for Single Image Super-Resolution

Multi-Resolution Space-Attended Residual Dense Network for Single Image Super-Resolution

With the help of deep convolutional neural networks, a vast majority of single image super-resolution (SISR) methods have been developed, and achieved promising performance. However, these methods suffer from over-smoothness in textured regions due to utilizing a single-resolution network to reconst...

Full description

Bibliographic Details
Main Authors: Jiayv Qin, Xianfang Sun, Yitong Yan, Longcun Jin, Xinyi Peng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Channel-wise sub-network attention
convolutional neural networks
multi-resolution sub-networks
single image super-resolution
Online Access:https://ieeexplore.ieee.org/document/9019616/

Internet

https://ieeexplore.ieee.org/document/9019616/

Similar Items