Comparison and Improvements of Image Denoising Based on Wavelet Transform

Xue Mei Xiao

doi:10.4028/www.scientific.net/AMM.740.644

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740Comparison and Improvements of Image Denoising...

Comparison and Improvements of Image Denoising Based on Wavelet Transform

Abstract:

Wavelet transform denoising is an important application of wavelet analysis in signal and image processing. Several popular wavelet denoising methods are introduced including the Mallat forced denoising, the wavelet transform modulus maxima method and the nonlinear wavelet threshold denoising method. Their advantages and disadvantages are compared, which may be helpful in selecting the wavelet denoising methods. At the same time, several improvement methods are offered.

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Periodical:

Applied Mechanics and Materials (Volume 740)

Pages:

644-647

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.740.644

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Online since:

March 2015

Authors:

Xue Mei Xiao*

Keywords:

Image Denoising, Mallat Algorithm, Modulus Maxima, Threshold, Wavelet Transform (WT)

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