Despeckling Utilizing μ-Estimators
Tuncer C. Aysal, Kenneth E. Barner · 2006
In this paper, we propose a novel speckle filtering algorithm based on the maximum likelihood estimate of speckle statistics. The homomorphism approach is utilized to modify the multiplicative noise problem to an additive one. The statistics of the altered noise are derived. The problem is then converted to the statistical M-estimation. Properties of the proposed filtering structure are investigated. Finally, simulations indicating the advantages of the proposed filtering are presented.