Image noise removal in Nakagami fading channels via Bayesian estimator

被引：0
|
作者：
Huang, X [1 ]
Madoc, AC
Sharma, D
机构：
[1] Univ Canberra, Sch Informat Sci & Engn, Canberra, ACT 2601, Australia
[2] Univ Melbourne, Dept Econ, Ctr Actuarial Studies, Melbourne, Vic 3051, Australia
来源：
DELTA 2006: THIRD IEEE INTERNATIONAL WORKSHOP ON ELECTRONIC DESIGN, TEST AND APPLICATIONS | 2006年
关键词：
digital image; image noise removal; Bayesian estimator; wavelet; wireless communications; Nakagami m-fading channels;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A maximum likelihood for Bayesian estimator based on a-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.
引用
收藏
页码：31 / +
页数：2
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