Learning Enriched Features for Image Super Resolution

Learning Enriched Features for Image Super Resolution

In recent years, significant progress has been made in image super-resolution (SR) methods based on convolutional neural networks. However, most of them do not fully utilize multi-scale feature correspondence in the image SR process, resulting in blurred and artifact detail restoration, especially f...

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Bibliographic Details
Main Authors: Weiqin Huang, Xiaorui Li, Yikai Gu, Xiaofu Du, Xiancheng Zhu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Image super-resolution
multi-scale features
attention mechanism
feedback learning
deep learning
Online Access:https://ieeexplore.ieee.org/document/9927402/

Internet

https://ieeexplore.ieee.org/document/9927402/

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