Robust priors for smoothing and image restoration

Annals of the Institute of Statistical Mathematics

Volumn 46, Issue 1, 1994, Pages 1-19

  Künsch, Hans R ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

Gaussian and non Gaussian smoothness priors; Gibbs distribution; images with discontinuities; maximum a posteriori estimation; simulated annealing

Indexed keywords

EID: 0006987821     PISSN: 00203157     EISSN: 15729052     Source Type: Journal    
DOI: 10.1007/BF00773588     Document Type: Article

References (18)

1. Likelihood and Bayes procedure
2. On the statistical analysis of dirty pictures (with discussion)
3. Towards Bayesian image analysis
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5. Constrained restoration and the recovery of discontinuities
6. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
7. Statistical methods for tomographic image reconstruction
8. Penalized likelihood reconstructions from emission tomography data using a modified EM algorithm
9. On some smoothing techniques used in image restoration
10. On the choice of regularisation parameter in image restoration
11. Non-Gaussian state space modeling of nonstationary time series (with discussion)
12. Constructing simple stable descriptions for image partitioning
13. A Monte Carlo method for an objective Bayesian procedure
14. Relations between models for spatial data, contingency tables and Markov fields on graphs
15. A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem