Image noise removal in Nakagami fading channels via Bayesian estimator

Author

Huang, Xu ; Madoc, A.C. ; Sharma, Dharmendra

Author_Institution

Sch. of Inf. Sci. & Eng., Canberra Univ., ACT

fYear

2006

fDate

17-19 Jan. 2006

Lastpage

34

Abstract

A maximum likelihood for Bayesian estimator based on alpha-stable was discussed in our previous papers. It is in terms of closer to a realistic situation, and unlike previous methods used for Bayesian estimator, for the case discussed here it is not necessary to know the variance of the noise. The Bayesian estimator here is based on in a Nakagami fading channel. Our previous research results has been extended to that Bayesian estimator that we investigated 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; wavelet transforms; Bayesian estimator; Nakagami fading channels; image noise removal; wireless communications; Additive noise; Bayesian methods; Diversity reception; Fading; Gaussian noise; Nakagami distribution; Rayleigh channels; Statistical distributions; Wireless communication; Working environment noise; Bayesian estimator; Nakagami m- fading channels.; digital image; image noise removal; wavelet; wireless communications;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Design, Test and Applications, 2006. DELTA 2006. Third IEEE International Workshop on

Conference_Location

Kuala Lumpur

Print_ISBN

0-7695-2500-8

Type

conf

DOI

10.1109/DELTA.2006.54

Filename

1581183