A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors

Edge-preserving tomographic reconstructi

Edge-preserving tomographic reconstruction from gaussian data using a gibbs prior and a generalized expectation-maximization algorithm

✍ Luigi Bedini; Emanuele Salerno; Anna Tonazzini 📂 Article 📅 1994 🏛 John Wiley and Sons 🌐 English ⚖ 856 KB

## Abstract The problem of edge‐preserving tomographic reconstruction from Gaussian data is considered. The problem is formulated within a Bayesian framework, where the image is modeled as a pair of Markov Random Fields: a continuous‐valued intensity process and a binary line process. The __a prior