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Multiple wavelet threshold estimation by generalized cross validation for images with correlated noise

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2 Author(s)
Jansen, M. ; Dept. of Comput. Sci., Katholieke Univ., Leuven, Heverlee, Belgium ; Bultheel, A.

Denoising 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. In this paper, we describe how we can extend it to images with correlated noise

Published in:

Image Processing, IEEE Transactions on  (Volume:8 ,  Issue: 7 )

Date of Publication:

Jul 1999

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