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Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain
BACKGROUND: Compressed sensing(CS) has been well applied to speed up imaging by exploring image sparsity over predefined basis functions or learnt dictionary. Firstly, the sparse representation is generally obtained in a single transform domain by using wavelet-like methods, which cannot produce opt...
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| Publicado no: | BMC Med Imaging |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4528851/ https://ncbi.nlm.nih.gov/pubmed/26253135 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-015-0065-0 |
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