Noises Removal for Images in Nakagami Fading Channels by Wavelet-Based Bayesian Estimator

Xu Huang

doi:10.1109/ICME.2008.4607361

Noises Removal for Images in Nakagami Fading Channels by Wavelet-Based Bayesian Estimator

Xu Huang

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

6 Citations (Scopus)

2 Downloads (Pure)

Abstract

With the projected significant growth in mobile internet and multimedia services, there is strong demand for wireless image communication. However, a lot of questions related to the multimedia wireless communications raised, such as “how to obtain a good quality images in wireless communication fading channels?” In this paper, we first established Bayesian estimator based on wireless communication modelled by Nakagami fading channel. Our previous research results [4-6] have been extended to this modelling, in particular for multi-noises, such as Gaussian and Poisson noises in Nakagami fading channels. As an example, an improved Bayesian estimator (soft and hard threshold methods), is also illustrated in this paper, not only by traditional assessments but also by “structural similarity”.

Original language	English
Title of host publication	IEEE International Conference on Multimedia Expo 2008, Proceeding of IEEE ICME 2008
Place of Publication	Germany
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	21-24
Number of pages	4
Volume	1
ISBN (Print)	9781424425716
DOIs	https://doi.org/10.1109/ICME.2008.4607361
Publication status	Published - 2008
Event	IEEE International Conference on Multimedia & Expo - Hannover, Germany Duration: 23 Jun 2008 → 26 Jun 2008

Conference

Conference	IEEE International Conference on Multimedia & Expo
Country/Territory	Germany
City	Hannover
Period	23/06/08 → 26/06/08

Access to Document

10.1109/ICME.2008.4607361

PaperFinal published version, 384 KB

Cite this

@inproceedings{a10137da22544f41a15c8b884eb6a476,

title = "Noises Removal for Images in Nakagami Fading Channels by Wavelet-Based Bayesian Estimator",

abstract = "With the projected significant growth in mobile internet and multimedia services, there is strong demand for wireless image communication. However, a lot of questions related to the multimedia wireless communications raised, such as “how to obtain a good quality images in wireless communication fading channels?” In this paper, we first established Bayesian estimator based on wireless communication modelled by Nakagami fading channel. Our previous research results [4-6] have been extended to this modelling, in particular for multi-noises, such as Gaussian and Poisson noises in Nakagami fading channels. As an example, an improved Bayesian estimator (soft and hard threshold methods), is also illustrated in this paper, not only by traditional assessments but also by “structural similarity”.",

author = "Xu Huang",

year = "2008",

doi = "10.1109/ICME.2008.4607361",

language = "English",

isbn = "9781424425716",

volume = "1",

pages = "21--24",

booktitle = "IEEE International Conference on Multimedia Expo 2008, Proceeding of IEEE ICME 2008",

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

address = "United States",

note = "IEEE International Conference on Multimedia & Expo ; Conference date: 23-06-2008 Through 26-06-2008",

}

Huang, X 2008, Noises Removal for Images in Nakagami Fading Channels by Wavelet-Based Bayesian Estimator. in IEEE International Conference on Multimedia Expo 2008, Proceeding of IEEE ICME 2008. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Germany, pp. 21-24, IEEE International Conference on Multimedia & Expo, Hannover, Germany, 23/06/08. https://doi.org/10.1109/ICME.2008.4607361

Noises Removal for Images in Nakagami Fading Channels by Wavelet-Based Bayesian Estimator. / Huang, Xu.

IEEE International Conference on Multimedia Expo 2008, Proceeding of IEEE ICME 2008. Vol. 1 Germany : IEEE, Institute of Electrical and Electronics Engineers, 2008. p. 21-24.

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

TY - GEN

T1 - Noises Removal for Images in Nakagami Fading Channels by Wavelet-Based Bayesian Estimator

AU - Huang, Xu

PY - 2008

Y1 - 2008

N2 - With the projected significant growth in mobile internet and multimedia services, there is strong demand for wireless image communication. However, a lot of questions related to the multimedia wireless communications raised, such as “how to obtain a good quality images in wireless communication fading channels?” In this paper, we first established Bayesian estimator based on wireless communication modelled by Nakagami fading channel. Our previous research results [4-6] have been extended to this modelling, in particular for multi-noises, such as Gaussian and Poisson noises in Nakagami fading channels. As an example, an improved Bayesian estimator (soft and hard threshold methods), is also illustrated in this paper, not only by traditional assessments but also by “structural similarity”.

AB - With the projected significant growth in mobile internet and multimedia services, there is strong demand for wireless image communication. However, a lot of questions related to the multimedia wireless communications raised, such as “how to obtain a good quality images in wireless communication fading channels?” In this paper, we first established Bayesian estimator based on wireless communication modelled by Nakagami fading channel. Our previous research results [4-6] have been extended to this modelling, in particular for multi-noises, such as Gaussian and Poisson noises in Nakagami fading channels. As an example, an improved Bayesian estimator (soft and hard threshold methods), is also illustrated in this paper, not only by traditional assessments but also by “structural similarity”.

U2 - 10.1109/ICME.2008.4607361

DO - 10.1109/ICME.2008.4607361

M3 - Conference contribution

SN - 9781424425716

VL - 1

SP - 21

EP - 24

BT - IEEE International Conference on Multimedia Expo 2008, Proceeding of IEEE ICME 2008

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Germany

T2 - IEEE International Conference on Multimedia & Expo

Y2 - 23 June 2008 through 26 June 2008

ER -

Noises Removal for Images in Nakagami Fading Channels by Wavelet-Based Bayesian Estimator

Abstract

Conference

Access to Document

Fingerprint

Cite this