Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Network
Defocus blur detection (DBD) is aimed to estimate the probability of each pixel being in-focus or out-of-focus. This process has been paid considerable attention due to its remarkable potential applications. Accurate differentiation of homogeneous regions and detection of low-contrast focal regions,...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 8 vom: 26. Aug., Seite 1884-1897 |
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| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2020
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |
| Accès en ligne |
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