Regularized super-resolution restoration algorithm for single medical image based on fuzzy similarity fusion
Abstract Medical images are blurred and noised due to various reasons in the acquirement, transmission and storage. In order to improve the restoration quality of medical images, a regular super-resolution restoration algorithm based on fuzzy similarity fusion is proposed. Based on maintained simila...
Kaydedildi:
| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
SpringerOpen
2019-11-01
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| Seri Bilgileri: | EURASIP Journal on Image and Video Processing |
| Konular: | |
| Online Erişim: | http://link.springer.com/article/10.1186/s13640-019-0483-y |
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