Multi-scale hybrid attention network for image super-resolution reconstruction
Aiming at the problems of high-frequency detail loss and structural distortion in images reconstructed by existing super-resolution (SR) reconstruction algorithms, a new reconstruction algorithm is proposed by combining multi-scale hybrid attention network. Firstly, a multi-scale residual module (MR...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Chinês |
| 出版事項: |
Editorial Office of Journal of XPU
2023-06-01
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| シリーズ: | Xi'an Gongcheng Daxue xuebao |
| 主題: | |
| オンライン･アクセス: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1337 |
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