An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson

Abstract

In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-log Poisson likelihood function for data fitting. (The fact that application scientists in both astronomical and medical imaging regularly choose this function for data fitting… (More)
DOI: 10.1137/080726884

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Cite this paper

@article{Bardsley2010AnIM, title={An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson}, author={Johnathan M. Bardsley and John Goldes}, journal={SIAM J. Scientific Computing}, year={2010}, volume={32}, pages={171-185} }