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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...
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| I publikationen: | IEEE Trans Nucl Sci |
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| Huvudupphovsman: | |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5603291/ https://ncbi.nlm.nih.gov/pubmed/28935996 |
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