A multiscale MAP estimation method for Poisson inverse problems


This paper describes a maximum a posteriori (MAP) estimation method for linear inverse problems involving Poisson data based on a novel multiscale framework. The framework itself is founded on a carefully designed multiscale prior probability distribution placed on the "splits" in the multiscale partition of the underlying intensity, and it admits a… (More)


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Citations per Year

Citation Velocity: 4

Averaging 4 citations per year over the last 3 years.

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