Two denoising methods by wavelet transform

Quan Pan; D. Zhang; Guanzhong Dai; Hongcai Zhang

doi:10.1109/78.806084

Two denoising methods by wavelet transform

Quan Pan
, D. Zhang
, Guanzhong Dai
, Hongcai Zhang

School of Automation

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

329 Scopus citations

Abstract

Two wavelet-based noise reduction methods are discussed here. First, we improve the traditional 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.

Original language	English
Pages (from-to)	3401-3406
Number of pages	6
Journal	IEEE Transactions on Signal Processing
Volume	47
Issue number	12
DOIs	https://doi.org/10.1109/78.806084
State	Published - 1999

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title = "Two denoising methods by wavelet transform",

abstract = "Two wavelet-based noise reduction methods are discussed here. First, we improve the traditional 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.",

author = "Quan Pan and D. Zhang and Guanzhong Dai and Hongcai Zhang",

year = "1999",

doi = "10.1109/78.806084",

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AU - Pan, Quan

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AB - Two wavelet-based noise reduction methods are discussed here. First, we improve the traditional 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.

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DO - 10.1109/78.806084

M3 - 文章

AN - SCOPUS:0033330857

SN - 1053-587X

VL - 47

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EP - 3406

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

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Two denoising methods by wavelet transform

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