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A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery
Recent theory of mapping an image into a structured low-rank Toeplitz or Hankel matrix has become an effective method to restore images. In this paper, we introduce a generalized structured low-rank algorithm to recover images from their undersampled Fourier coefficients using infimal convolution re...
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| Publicat a: | IEEE Trans Med Imaging |
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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/PMC6559879/ https://ncbi.nlm.nih.gov/pubmed/30561342 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2886290 |
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