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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514997/ https://www.ncbi.nlm.nih.gov/pubmed/31018597 http://dx.doi.org/10.3390/s19081918 |