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Parameter estimation
for satellite image deconvolution
by a MCMCML method
 
 
André Jalobeanu - Laure Blanc-Féraud - Josiane Zerubia
 
 
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C o n t e n t s
 
  • Introduction

    •  
  • What is the problem?
  • Reconstruction - Regularization
  • Purpose of the regularization
  • Purpose of the hyperparameters
  • How to choose the right hyperparameters
  • Choice of the estimator
  • Calculus of the Likelihood
  • Log-Likelihood derivatives
  • Sampling the densities
  • The modified Geman & Yang sampler
  • The MCMCML estimation algorithm
  • The ICM-DCT reconstruction algorithm
  • Estimation results
  • Reconstruction results

    •  
  • Conclusion and future work
    • A p p e n d i x
  • Notations
  • Markov random fields
  • Choice of an estimation area
    • André Jalobeanu - 24 Aug 1998