title: On some Bayesian/regularization methods for image restoration.
abstract: Methods are reviewed for choosing regularized restorations in image processing. In particular, a method developed by Galatsanos and Katsaggelos (see ibid., vol.1, p.322-336, 1992) is given a Bayesian interpretation and is compared with other Bayesian and non-Bayesian alternatives. A small illustrative example is provided and a complement is provided for the discussion of noise variance estimation of Galatsanos et al.
authors.affiliation: Dept. of Stat., Glasgow Univ.
authors.forename: G
authors.initials: G
authors.lastname: Archer
authors.forename: D M
authors.initials: DM
authors.lastname: Titterington