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On some Bayesian/regularization methods for image restoration

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2 Author(s)
Archer, G. ; Dept. of Stat., Glasgow Univ., UK ; Titterington, D.M.

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

Published in:

Image Processing, IEEE Transactions on  (Volume:4 ,  Issue: 7 )

Date of Publication:

Jul 1995

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