Title :
Image and Its Noise Removal in Nakagami Fading Channels
Author :
Huang, X. ; Madoc, A.C.
Author_Institution :
Sch. of Inf. Sci. & Eng., Canberra Univ., ACT
Abstract :
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
Keywords :
Bayes methods; Nakagami channels; image denoising; maximum likelihood estimation; Bayesian estimator; Nakagami fading channels; image noise removal; maximum likelihood; Additive noise; Bayesian methods; Degradation; Diversity reception; Fading; Gaussian noise; Maximum likelihood estimation; Rayleigh channels; Signal processing; Statistical distributions; Nakagami communication channels; image processing; noise removal; wireless communications;
Conference_Titel :
Advanced Communication Technology, 2006. ICACT 2006. The 8th International Conference
Conference_Location :
Phoenix Park
Print_ISBN :
89-5519-129-4
DOI :
10.1109/ICACT.2006.206034