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NOVEL STRUCTURED LOW-RANK ALGORITHM TO RECOVER SPATIALLY SMOOTH EXPONENTIAL IMAGE TIME SERIES
We propose a structured low rank matrix completion algorithm to recover a time series of images consisting of linear combination of exponential parameters at every pixel, from undersampled Fourier measurements. The spatial smoothness of these parameters is exploited along with the exponential struct...
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| Pubblicato in: | Proc IEEE Int Symp Biomed Imaging |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7985823/ https://ncbi.nlm.nih.gov/pubmed/33763179 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi.2017.7950454 |
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