Multi-Scale Residual Hierarchical Dense Networks for Single Image Super-Resolution

Multi-Scale Residual Hierarchical Dense Networks for Single Image Super-Resolution

Single image super-resolution is known to be an ill-posed problem, which has been studied for decades. With the developments of deep convolutional neural networks, the CNN-based single image super-resolution methods have greatly improved the quality of the generated high-resolution images. However,...

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Bibliographic Details
Main Authors: Chuangchuang Liu, Xianfang Sun, Changyou Chen, Paul L. Rosin, Yitong Yan, Longcun Jin, Xinyi Peng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep learning
multi-scale residual hierarchical dense
image super-resolution
Online Access:https://ieeexplore.ieee.org/document/8712146/

Internet

https://ieeexplore.ieee.org/document/8712146/

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