Image Super-Resolution Based on Residual Attention and Multi-Scale Feature Fusion
At present, deep residual network has been widely used in image super-resolution and proved to be able to achieve good reconstruction results. However, the existing super-resolution algorithms based on deep residual network have the problems of indiscriminately learning feature information of differ...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10147230/ |