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Denoising by multiwavelet singularity detection

By Yuk-Fan Ho, Wing-Kuen Ling and Kwong-Shun Tam

Abstract

Wavelet denoising by singularity detection was proposed as an algorithm that combines Mallat and Donoho’s denoising approaches. With wavelet transform modulus sum, we can avoid the error and ambiguities of tracing the modulus maxima across scales and the complicated and computationally demanding reconstruction process. We can also avoid the visual artifacts produced by shrinkage. In this paper, we investigate a multiwavelet denoising algorithm based on a modified singularity detection approach. Improved signal denoising results are obtained in comparison to the single wavelet case

Topics: H610 Electronic Engineering
Publisher: IEEE
Year: 2003
DOI identifier: 10.1109/ICNNSP.2003.1279349
OAI identifier: oai:eprints.lincoln.ac.uk:3127

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Citations

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