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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603291/ https://www.ncbi.nlm.nih.gov/pubmed/28935996 |