An overcomplete pyramid representation for improved gsm image denoising

Damith J. Mudugamuwa; Wenjing Jia; Xiangjian He; Jie Yang

doi:10.1109/ICME.2011.6011845

An overcomplete pyramid representation for improved gsm image denoising

Damith J. Mudugamuwa, Wenjing Jia, Xiangjian He, Jie Yang

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Removing noise from a digital image is a challenging problem. Application of Gaussian Scale Mixtures (GSM) in the wavelet domain has been reported to be one of the most effective denoising algorithms, published to date. In this paper we investigate the impact of overcomplete wavelet image representations on the GSM image denoising algorithm. We explore the desirable local characteristics of wavelet coefficients that can enhance the efficiency of GSM denoising and based on the findings, we devise an improved over-complete pyramid representation to enhance the GSM denoising performance. We present the experimental denoising results using the proposed pyramid representation, and they outperform state-of-the-art GSM denoising results reported in the literature.

Original language	English
Title of host publication	Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011
DOIs	https://doi.org/10.1109/ICME.2011.6011845
Publication status	Published - 2011
Externally published	Yes
Event	2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011 - Barcelona, Spain Duration: 11 Jul 2011 → 15 Jul 2011

Publication series

Name	Proceedings - IEEE International Conference on Multimedia and Expo
ISSN (Print)	1945-7871
ISSN (Electronic)	1945-788X

Conference

Conference	2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011
Country/Territory	Spain
City	Barcelona
Period	11/07/11 → 15/07/11

Keywords

Gaussian scale mixture
image denoising
overcomplete transforms
pyramid representations
Wavelet transforms

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICME.2011.6011845

Cite this

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title = "An overcomplete pyramid representation for improved gsm image denoising",

abstract = "Removing noise from a digital image is a challenging problem. Application of Gaussian Scale Mixtures (GSM) in the wavelet domain has been reported to be one of the most effective denoising algorithms, published to date. In this paper we investigate the impact of overcomplete wavelet image representations on the GSM image denoising algorithm. We explore the desirable local characteristics of wavelet coefficients that can enhance the efficiency of GSM denoising and based on the findings, we devise an improved over-complete pyramid representation to enhance the GSM denoising performance. We present the experimental denoising results using the proposed pyramid representation, and they outperform state-of-the-art GSM denoising results reported in the literature.",

keywords = "Gaussian scale mixture, image denoising, overcomplete transforms, pyramid representations, Wavelet transforms",

author = "Mudugamuwa, {Damith J.} and Wenjing Jia and Xiangjian He and Jie Yang",

year = "2011",

doi = "10.1109/ICME.2011.6011845",

language = "English",

isbn = "9781612843490",

series = "Proceedings - IEEE International Conference on Multimedia and Expo",

booktitle = "Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011",

note = "2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011 ; Conference date: 11-07-2011 Through 15-07-2011",

}

Mudugamuwa, DJ, Jia, W, He, X & Yang, J 2011, An overcomplete pyramid representation for improved gsm image denoising. in Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011., 6011845, Proceedings - IEEE International Conference on Multimedia and Expo, 2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011, Barcelona, Spain, 11/07/11. https://doi.org/10.1109/ICME.2011.6011845

An overcomplete pyramid representation for improved gsm image denoising. / Mudugamuwa, Damith J.; Jia, Wenjing; He, Xiangjian et al.
Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011. 2011. 6011845 (Proceedings - IEEE International Conference on Multimedia and Expo).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An overcomplete pyramid representation for improved gsm image denoising

AU - Mudugamuwa, Damith J.

AU - Jia, Wenjing

AU - He, Xiangjian

AU - Yang, Jie

PY - 2011

Y1 - 2011

N2 - Removing noise from a digital image is a challenging problem. Application of Gaussian Scale Mixtures (GSM) in the wavelet domain has been reported to be one of the most effective denoising algorithms, published to date. In this paper we investigate the impact of overcomplete wavelet image representations on the GSM image denoising algorithm. We explore the desirable local characteristics of wavelet coefficients that can enhance the efficiency of GSM denoising and based on the findings, we devise an improved over-complete pyramid representation to enhance the GSM denoising performance. We present the experimental denoising results using the proposed pyramid representation, and they outperform state-of-the-art GSM denoising results reported in the literature.

AB - Removing noise from a digital image is a challenging problem. Application of Gaussian Scale Mixtures (GSM) in the wavelet domain has been reported to be one of the most effective denoising algorithms, published to date. In this paper we investigate the impact of overcomplete wavelet image representations on the GSM image denoising algorithm. We explore the desirable local characteristics of wavelet coefficients that can enhance the efficiency of GSM denoising and based on the findings, we devise an improved over-complete pyramid representation to enhance the GSM denoising performance. We present the experimental denoising results using the proposed pyramid representation, and they outperform state-of-the-art GSM denoising results reported in the literature.

KW - Gaussian scale mixture

KW - image denoising

KW - overcomplete transforms

KW - pyramid representations

KW - Wavelet transforms

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U2 - 10.1109/ICME.2011.6011845

DO - 10.1109/ICME.2011.6011845

M3 - Conference contribution

AN - SCOPUS:80155131225

SN - 9781612843490

T3 - Proceedings - IEEE International Conference on Multimedia and Expo

BT - Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011

T2 - 2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011

Y2 - 11 July 2011 through 15 July 2011

ER -

An overcomplete pyramid representation for improved gsm image denoising

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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