Gaussian surrogate objectives achieve mean squared error comparable to Poisson MAP in low-dose Poisson imaging despite not matching the likelihood.
Maximum likelihood recon- struction for emission tomography,
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Gaussian Surrogates for Poisson Imaging: Some Theoretical and Empirical Results
Gaussian surrogate objectives achieve mean squared error comparable to Poisson MAP in low-dose Poisson imaging despite not matching the likelihood.