Image and Its Noise Removal in Nakagami Fading Channels

Xu Huang; A Madoc

doi:10.1109/ICACT.2006.206034

Image and Its Noise Removal in Nakagami Fading Channels

Xu Huang, A Madoc

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

6 Citations (Scopus)

31 Downloads (Pure)

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

Original language	English
Title of host publication	The 8th International Conference on Advanced Communication Technology. Toward the Era of Ubiquitous Networks and Societies
Editors	Dr Hyeong-Ho Lee
Place of Publication	Republic of Korea
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	570-573
Number of pages	4
ISBN (Electronic)	8955191294
ISBN (Print)	9788955191295
DOIs	https://doi.org/10.1109/ICACT.2006.206034
Publication status	Published - 2006
Event	8th International Conference on Advanced Communication Technology - Phoenix Park, Korea, Democratic People's Republic of Duration: 20 Feb 2006 → 22 Feb 2006

Conference

Conference	8th International Conference on Advanced Communication Technology
Country/Territory	Korea, Democratic People's Republic of
City	Phoenix Park
Period	20/02/06 → 22/02/06

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10.1109/ICACT.2006.206034

Conference ContrbutionFinal published version, 3.39 MB

Cite this

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title = "Image and Its Noise Removal in Nakagami Fading Channels",

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",

author = "Xu Huang and A Madoc",

year = "2006",

doi = "10.1109/ICACT.2006.206034",

language = "English",

isbn = "9788955191295",

pages = "570--573",

editor = "Lee, {Dr Hyeong-Ho}",

booktitle = "The 8th International Conference on Advanced Communication Technology. Toward the Era of Ubiquitous Networks and Societies",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "8th International Conference on Advanced Communication Technology ; Conference date: 20-02-2006 Through 22-02-2006",

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Huang, X & Madoc, A 2006, Image and Its Noise Removal in Nakagami Fading Channels. in DH-H Lee (ed.), The 8th International Conference on Advanced Communication Technology. Toward the Era of Ubiquitous Networks and Societies. IEEE, Institute of Electrical and Electronics Engineers, Republic of Korea, pp. 570-573, 8th International Conference on Advanced Communication Technology, Phoenix Park, Korea, Democratic People's Republic of, 20/02/06. https://doi.org/10.1109/ICACT.2006.206034

Image and Its Noise Removal in Nakagami Fading Channels. / Huang, Xu; Madoc, A.
The 8th International Conference on Advanced Communication Technology. Toward the Era of Ubiquitous Networks and Societies. ed. / Dr Hyeong-Ho Lee. Republic of Korea: IEEE, Institute of Electrical and Electronics Engineers, 2006. p. 570-573.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Image and Its Noise Removal in Nakagami Fading Channels

AU - Huang, Xu

AU - Madoc, A

PY - 2006

Y1 - 2006

N2 - 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

AB - 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

U2 - 10.1109/ICACT.2006.206034

DO - 10.1109/ICACT.2006.206034

M3 - Conference contribution

SN - 9788955191295

SP - 570

EP - 573

BT - The 8th International Conference on Advanced Communication Technology. Toward the Era of Ubiquitous Networks and Societies

A2 - Lee, Dr Hyeong-Ho

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Republic of Korea

T2 - 8th International Conference on Advanced Communication Technology

Y2 - 20 February 2006 through 22 February 2006

ER -

Image and Its Noise Removal in Nakagami Fading Channels

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