Two denoising methods by wavelet transform

被引：229

作者：

Pan, Q ^{[1
]}

Zhang, L ^{[1
]}

Dai, GZ ^{[1
]}

Zhang, HC ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Dept Automat Control, Xian, Shaanxi, Peoples R China

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1999年 / 47卷 / 12期

基金：

中国国家自然科学基金;

关键词：

denoising; spatial correlation; threshold; undecimated discrete wavelet transform;

D O I：

10.1109/78.806084

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Two wavelet-based noise reduction methods are discussed here. First, we improve the tradtional spatially selective noise filtration technique proposed by Xu et al, Second, we introduce a new threshold-based denoising algorithm based on undecimated discrete wavelet transform, Simulations and comparisons are given.

引用

页码：3401 / 3406

页数：6

共 14 条

[1] FAST WAVELET TRANSFORMS AND NUMERICAL ALGORITHMS .1. [J].

BEYLKIN, G ;

COIFMAN, R ;

ROKHLIN, V .

COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 1991, 44 (02) :141-183

[2]

COHEN A, 1990, COMMUN PURE APPL MAT, V45

[3]

COIFMAN R, 1994, TRANSLATION INVARIAN, P125

[4]

Daubechies I., 1992, Ten Lectures on Wavelets, DOI 10.1137/1.9781611970104

[5]

DAUBECHIES L, 1988, COMMUN PURE APPL MAT, V41

[6]

DONOHO D, 1998, J AM STAT ASS, V90

[7] DE-NOISING BY SOFT-THRESHOLDING [J].

DONOHO, DL .

IEEE TRANSACTIONS ON INFORMATION THEORY, 1995, 41 (03) :613-627

[8]

DONOHO DL, 1995, J ROY STAT SOC B MET, V57, P301

[9] CHARACTERIZATION OF SIGNALS FROM MULTISCALE EDGES [J].

MALLAT, S ;

ZHONG, S .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (07) :710-732

[10]

MEYER Y, 1993, WAVELETS ALGORITHM A

← 1 2 →