Adaptive denoising based on lifting scheme

Yonghong Wu; Quan Pan; Hongcai Zhang; Shaowu Zhang

Adaptive denoising based on lifting scheme

Yonghong Wu, Quan Pan, Hongcai Zhang, Shaowu Zhang

School of Automation

Northwestern Polytechnical University Xian

Research output: Contribution to conference › Paper › peer-review

6 Scopus citations

Abstract

Observing that the Haar wavelet is sensitive to step edges, and the CDF(2.2) wavelet which is a subset of the Cohen-Daubechies-Feauveau family performs well for smooth signals, we present a new adaptive wavelet transform via the lifting scheme for noise reduction. Unlike many popular wavelets that adapt scale-by-scale, the proposed wavelet can adapt point-by-point. Experiment results show that the proposed method has advantages of both the Haar and CDF(2,2) wavelets and performs well for the smooth and edge-dominated regions. Moreover, the interval of the switch thresholding parameter of the proposed wavelet is given by experiments.

Original language	English
Pages	352-355
Number of pages	4
State	Published - 2004
Event	2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China Duration: 31 Aug 2004 → 4 Sep 2004

Conference

Conference	2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
Country/Territory	China
City	Beijing
Period	31/08/04 → 4/09/04

Keywords

Adaptive wavelet transform
Lifting scheme
Switch thresholding parameter

Cite this

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title = "Adaptive denoising based on lifting scheme",

abstract = "Observing that the Haar wavelet is sensitive to step edges, and the CDF(2.2) wavelet which is a subset of the Cohen-Daubechies-Feauveau family performs well for smooth signals, we present a new adaptive wavelet transform via the lifting scheme for noise reduction. Unlike many popular wavelets that adapt scale-by-scale, the proposed wavelet can adapt point-by-point. Experiment results show that the proposed method has advantages of both the Haar and CDF(2,2) wavelets and performs well for the smooth and edge-dominated regions. Moreover, the interval of the switch thresholding parameter of the proposed wavelet is given by experiments.",

keywords = "Adaptive wavelet transform, Lifting scheme, Switch thresholding parameter",

author = "Yonghong Wu and Quan Pan and Hongcai Zhang and Shaowu Zhang",

year = "2004",

language = "英语",

pages = "352--355",

note = "2004 7th International Conference on Signal Processing Proceedings (ICSP'04) ; Conference date: 31-08-2004 Through 04-09-2004",

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TY - CONF

T1 - Adaptive denoising based on lifting scheme

AU - Wu, Yonghong

AU - Pan, Quan

AU - Zhang, Hongcai

AU - Zhang, Shaowu

PY - 2004

Y1 - 2004

N2 - Observing that the Haar wavelet is sensitive to step edges, and the CDF(2.2) wavelet which is a subset of the Cohen-Daubechies-Feauveau family performs well for smooth signals, we present a new adaptive wavelet transform via the lifting scheme for noise reduction. Unlike many popular wavelets that adapt scale-by-scale, the proposed wavelet can adapt point-by-point. Experiment results show that the proposed method has advantages of both the Haar and CDF(2,2) wavelets and performs well for the smooth and edge-dominated regions. Moreover, the interval of the switch thresholding parameter of the proposed wavelet is given by experiments.

AB - Observing that the Haar wavelet is sensitive to step edges, and the CDF(2.2) wavelet which is a subset of the Cohen-Daubechies-Feauveau family performs well for smooth signals, we present a new adaptive wavelet transform via the lifting scheme for noise reduction. Unlike many popular wavelets that adapt scale-by-scale, the proposed wavelet can adapt point-by-point. Experiment results show that the proposed method has advantages of both the Haar and CDF(2,2) wavelets and performs well for the smooth and edge-dominated regions. Moreover, the interval of the switch thresholding parameter of the proposed wavelet is given by experiments.

KW - Adaptive wavelet transform

KW - Lifting scheme

KW - Switch thresholding parameter

UR - http://www.scopus.com/inward/record.url?scp=7744243060&partnerID=8YFLogxK

M3 - 论文

AN - SCOPUS:7744243060

SP - 352

EP - 355

T2 - 2004 7th International Conference on Signal Processing Proceedings (ICSP'04)

Y2 - 31 August 2004 through 4 September 2004

ER -

Adaptive denoising based on lifting scheme

Abstract

Conference

Keywords

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