Speckle noise reduction
Speckle noise reduction
Speckle noise reduction
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<strong>Speckle</strong> <strong>noise</strong> <strong>reduction</strong>: a review – Ph. Courmontagne<br />
17<br />
Maximum A Posteriori (MAP) Filters<br />
‣ Using Bayesian approach, those filters intend to maximize the a<br />
posteriori probability P(S/Z)<br />
‣ Filters’ equations are derived by solving the MAP equation<br />
Assume a non-stationary multiplicative speckle <strong>noise</strong> model<br />
Too small windows introduce a bias<br />
‣ Several approaches depending on the distributions used to<br />
described the signal and P(Z/S)<br />
Kuan MAP filter [Kuan, 1987]<br />
Gamma MAP filter [Lopes, 1993]<br />
Fisher MAP filter [Nicolas, 2003]
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