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A new Mumford–Shah total variation minimization based model for sparse-view x-ray computed tomography image reconstruction
Total variation (TV) minimization for the sparse-view x-ray computer tomography (CT) reconstruction has been widely explored to reduce radiation dose. However, due to the piecewise constant assumption for the TV model, the reconstructed images often suffer from over-smoothness on the image edges. To...
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| Publicat a: | Neurocomputing |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5966048/ https://ncbi.nlm.nih.gov/pubmed/29805200 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neucom.2018.01.037 |
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