Abstract
Bayesian image processing formalisms which incorporate a priori information about valued-uncorrelated and valued-correlated (patterned) source distributions are introduced and the corresponding iterative algorithms are derived using the EM technique. Striking improvement in image processing is demonstrated when applying these algorithms to Poisson and Gaussian randomized data in one-dimensional cases.
| Original language | English |
|---|---|
| Pages (from-to) | 75-91 |
| Number of pages | 17 |
| Journal | Bulletin of Mathematical Biology |
| Volume | 49 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1987 |
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