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
fDate :
12/1/1999 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
