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A Compressed-Sensing Based Blind Deconvolution Method for Image Deblurring in Dental Cone-Beam Computed Tomography
In cone-beam computed tomography (CBCT), reconstructed images are inherently degraded, restricting its image performance, due mainly to imperfections in the imaging process resulting from detector resolution, noise, X-ray tube’s focal spot, and reconstruction procedure as well. Thus, the recovery of...
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| Pubblicato in: | J Digit Imaging |
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| Autori principali: | , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6499850/ https://ncbi.nlm.nih.gov/pubmed/30238344 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-018-0120-9 |
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