Image denoising using Wiener filtering and wavelet thresholding

A method of image denoising using Wiener filtering and wavelet thresholding is discussed. Unlike previous methods used for image denoising using Wiener filtering and wavelet thresholding, the statistician's Pythagorean theorem is used for wavelet thresholding. A faster, approximate implementati...

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Bibliographic Details
Main Authors: Huang, X., Woolsey, G.A.
Format: Conference Proceeding
Language:English
Subjects:
Estimation error
Filtering
Finite impulse response filter
IIR filters
Image denoising
Image restoration
Libraries
Nonlinear filters
Signal processing
Wiener filter
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Summary:A method of image denoising using Wiener filtering and wavelet thresholding is discussed. Unlike previous methods used for image denoising using Wiener filtering and wavelet thresholding, the statistician's Pythagorean theorem is used for wavelet thresholding. A faster, approximate implementation of the filter is thus achieved.
DOI:10.1109/ICME.2000.871113