ITEM METADATA RECORD
Title: Experiments with wavelet based image de-noising using generalized cross validation
Authors: Jansen, Maarten
Bultheel, Adhemar #
Issue Date: Feb-1997
Host Document: Medical Imaging 1997: Image Processing pages:206-214
Conference: Medical Imaging 1997: Image Processing location:Newport Beach, CA date:22-28 February 1997
Abstract: De-noising algorithms based on wavelet thresholding replace small wavelet coefficients by zero and keep or shrink the coefficients with absolute value above the threshold. The optimal threshold minimizes the error of the result as compared to the unknown, exact data. To estimate this optimal threshold, we use generalized cross validation. This procedure does not require an estimation for the noise energy. Originally, this method assumes uncorrelated noise, and an orthogonal wavelet transform. In this paper we investigate the possibilities of this method for less restrictive conditions.
URI: 
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Numerical Analysis and Applied Mathematics Section
# (joint) last author

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