Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator

Xu Huang; A Madoc; Dharmendra Sharma

doi:10.1109/DELTA.2006.54

Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator

Xu Huang, A Madoc, Dharmendra Sharma

Information Systems

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

2 Citations (Scopus)

47 Downloads (Pure)

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

Original language	English
Title of host publication	Proceedings Third International Workshop on Electronic Design, Test and Applications
Editors	Patrick Girard, Adam Osseiran, Moi-Tin Chew
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	31-43
Number of pages	13
ISBN (Print)	0769525008
DOIs	https://doi.org/10.1109/DELTA.2006.54
Publication status	Published - 2006
Event	3rd IEEE International Workshop on Electronic Design, Test and Applications - Kuala Lumpur, Malaysia Duration: 17 Jan 2006 → 19 Jan 2006

Conference

Conference	3rd IEEE International Workshop on Electronic Design, Test and Applications
Country/Territory	Malaysia
City	Kuala Lumpur
Period	17/01/06 → 19/01/06

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10.1109/DELTA.2006.54

Conference ContributionFinal published version, 566 KB

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title = "Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator",

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",

author = "Xu Huang and A Madoc and Dharmendra Sharma",

year = "2006",

doi = "10.1109/DELTA.2006.54",

language = "English",

isbn = "0769525008",

pages = "31--43",

editor = "Patrick Girard and Adam Osseiran and Moi-Tin Chew",

booktitle = "Proceedings Third International Workshop on Electronic Design, Test and Applications",

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

address = "United States",

note = "3rd IEEE International Workshop on Electronic Design, Test and Applications ; Conference date: 17-01-2006 Through 19-01-2006",

}

Huang, X, Madoc, A & Sharma, D 2006, Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator. in P Girard, A Osseiran & M-T Chew (eds), Proceedings Third International Workshop on Electronic Design, Test and Applications. IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 31-43, 3rd IEEE International Workshop on Electronic Design, Test and Applications, Kuala Lumpur, Malaysia, 17/01/06. https://doi.org/10.1109/DELTA.2006.54

Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator. / Huang, Xu; Madoc, A; Sharma, Dharmendra.
Proceedings Third International Workshop on Electronic Design, Test and Applications. ed. / Patrick Girard; Adam Osseiran; Moi-Tin Chew. USA: IEEE, Institute of Electrical and Electronics Engineers, 2006. p. 31-43.

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

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T1 - Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator

AU - Huang, Xu

AU - Madoc, A

AU - Sharma, Dharmendra

PY - 2006

Y1 - 2006

N2 - 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

AB - 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

U2 - 10.1109/DELTA.2006.54

DO - 10.1109/DELTA.2006.54

M3 - Conference contribution

SN - 0769525008

SP - 31

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BT - Proceedings Third International Workshop on Electronic Design, Test and Applications

A2 - Girard, Patrick

A2 - Osseiran, Adam

A2 - Chew, Moi-Tin

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CY - USA

T2 - 3rd IEEE International Workshop on Electronic Design, Test and Applications

Y2 - 17 January 2006 through 19 January 2006

ER -

Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator

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