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The ML-EM Algorithm is Not Optimal for Poisson Noise
The ML-EM (maximum likelihood expectation maximization) algorithm is the most popular image reconstruction method when the measurement noise is Poisson distributed. This short paper considers the problem that for a given noisy projection data set, whether the ML-EM algorithm is able to provide an ap...
Gorde:
| Argitaratua izan da: | IEEE Trans Nucl Sci |
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| Egile nagusia: | |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2015
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5603291/ https://ncbi.nlm.nih.gov/pubmed/28935996 |
| Etiketak: |
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