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 |
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Pages (from-to) | 3401-3406 |
Number of pages | 6 |
Journal | IEEE Transactions on Signal Processing |
Volume | 47 |
Issue number | 12 |
DOIs | |
State | Published - 1999 |