ANALYSIS AND ESTIMATION

Transform domain approaches for image denoising

[+] Author Affiliations
Rus¸en O¨ktem

Tampere University of Technology, Signal Processing Laboratory, P.O. Box 553, Tampere 33101, Finland E-mail: {rusen,karen,jta}@cs.tut.fi

Leonid Yaroslavsky

Tel Aviv University, Interdisciplinary Department, Engineering Faculty, Tel Aviv 69978, Israel E-mail: yaro@eng.tau.al.il

Jaakko Astola

Tampere University of Technology, Signal Processing Laboratory, P.O. Box 553, Tampere 33101, Finland

J. Electron. Imaging. 11(2), 149-156 (Apr 01, 2002). doi:10.1117/1.1426077
History: Received May 23, 2000; Revised May 2, 2001; Accepted May 3, 2001; Online April 12, 2002
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We address the problem of transform domain image denoising in two parts. Considering additive data independent noise corrupted images in the first part, we review a class of local transform domain filters, and compare their performances. We improve the performance of local transform domain filters by proposing averaging over overlapping windows. Comparisons include discussion of relations with wavelet denoising and simulations over different images. In the second part, we consider data dependent noise corrupted images, and propose a novel transform domain denoising method. We study the performance of the method for the case of film-grain noise. Experimental results justify the effectiveness of the studied transform domain filters. © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Citation

Rus¸en O¨ktem ; Leonid Yaroslavsky ; Karen Egiazarian and Jaakko Astola
"Transform domain approaches for image denoising", J. Electron. Imaging. 11(2), 149-156 (Apr 01, 2002). ; http://dx.doi.org/10.1117/1.1426077


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