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Sampling the densities
 
Prior model :
First order neighbourhood

Modified Geman & Yang sampler, or Gibbs or Metropolis samplers

Examples of a priori samples :
=0.3, =10 =1, =15 =1, =5
 


 
Posterior distribution :
Data dependence : observed image Y

High order neighbourhood (depends on the size of H)

Only the modified Geman & Yang sampler is possible
        (Gibbs or Metropolis are too time consuming because of the high order neighbourhood)

 
Examples of a posteriori samples :
=0.5, =10 =0.5, =1 =10, =10
 
Observation image Y :
 
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André Jalobeanu - 24 Aug 1998