DocumentCode
1270979
Title
Two denoising methods by wavelet transform
Author
Pan, Quan ; Zhang, Lei ; Dai, Guanzhong ; Zhang, Hongcai
Author_Institution
Dept. of Autom. Control, Northwestern Polytech. Univ., Xian, China
Volume
47
Issue
12
fYear
1999
fDate
12/1/1999 12:00:00 AM
Firstpage
3401
Lastpage
3406
Abstract
To wavelet-based noise reduction methods are discussed. First, we improve the traditional spatially selective noise filtration technique proposed by Xu et al. (1994). Second, we introduce a new threshold-based denoising algorithm based on undecimated discrete wavelet transform. Simulations and comparisons are given
Keywords
Gaussian noise; discrete wavelet transforms; filtering theory; white noise; Gausian white noise; denoising methods; simulations; spatially selective noise filtration; standard deviation; threshold-based denoising algorithm; undecimated discrete wavelet transform; wavelet-based noise reduction methods; Bandwidth; Continuous wavelet transforms; Discrete wavelet transforms; Filtering; Filters; Filtration; Frequency; Noise reduction; Signal processing algorithms; Wavelet transforms;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.806084
Filename
806084
Link To Document