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A Dictionary Learning Method with Total Generalized Variation for MRI Reconstruction
Reconstructing images from their noisy and incomplete measurements is always a challenge especially for medical MR image with important details and features. This work proposes a novel dictionary learning model that integrates two sparse regularization methods: the total generalized variation (TGV)...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Limited
2016-01-01
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| Colecção: | International Journal of Biomedical Imaging |
| Acesso em linha: | http://dx.doi.org/10.1155/2016/7512471 |
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