Two denoising methods by wavelet transform
Authors:
- Lei ZhangLZLei Zhang
- Guanzhong DaiGDGuanzhong Dai
- Hongai ZhangHZHongai Zhang
- 1 December 1999
- journal article
- letter
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 47 (12) , 3401-3406
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
This publication has 11 references indexed in Scilit:
- Adapting to Unknown Smoothness via Wavelet ShrinkageJournal of the American Statistical Association, 1995
- De-noising by soft-thresholdingIEEE Transactions on Information Theory, 1995
- Simultaneous Noise Suppression and Signal Compression Using a Library of Orthonormal Bases and the Minimum Description Length Criterion1994
- Wavelet transform domain filters: a spatially selective noise filtration techniqueIEEE Transactions on Image Processing, 1994
- Characterization of signals from multiscale edgesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1992
- Biorthogonal bases of compactly supported waveletsCommunications on Pure and Applied Mathematics, 1992
- Wavelets and filter banks: theory and designIEEE Transactions on Signal Processing, 1992
- Ten Lectures on Wavelets1992
- Fast wavelet transforms and numerical algorithms ICommunications on Pure and Applied Mathematics, 1991
- Orthonormal bases of compactly supported waveletsCommunications on Pure and Applied Mathematics, 1988