Area-Specific Convolutional Neural Networks for Single Image Super-Resolution

Area-Specific Convolutional Neural Networks for Single Image Super-Resolution

The implementation of deep convolutional neural networks (CNN) in single image super-resolution (SISR) has been successful at improving restoration quality. However, due to analysis made in previous works, it is observed that missing details in low-resolution (LR) images mostly exist in high-frequen...

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Bibliographic Details
Main Authors: Honnang Alao, Tae Sung Kim, Kyujoong Lee
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Area-specific convolutions
convolutional neural network
decision mask
sparse convolution
super-resolution
Online Access:https://ieeexplore.ieee.org/document/9905601/

Internet

https://ieeexplore.ieee.org/document/9905601/

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