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Improved Reconstruction of MR Scanned Images by Using a Dictionary Learning Scheme
The application of compressed sensing (CS) to biomedical imaging is sensational since it permits a rationally accurate reconstruction of images by exploiting the image sparsity. The quality of CS reconstruction methods largely depends on the use of various sparsifying transforms, such as wavelets, c...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6514997/ https://ncbi.nlm.nih.gov/pubmed/31018597 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19081918 |
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