Image and Its Noise Removal in Nakagami Fading Channels
X. Huang, Allan C. Madoc · 2006 8th International Conference Advanced Communication Technology · 2006
A maximum likelihood for Bayesian estimator based on alpha-stability was discussed in our previous papers. It is in terms of closer to a realistic situation, and unlike previous methods used for Bayesian estimators, for the case discussed here, it is not necessary to know the variance of the noise. The Bayesian estimator here is based on a Nakagami fading channel. Our previous research results has been extended to that Bayesian estimator that we investigated and is still working well for the image noise removal in Nakagami fading channels. As an example, an improved Bayesian estimator (soft and hard threshold methods), is illustrated in our discussion