Volume 4 Number 4 (Aug. 2012)
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IJCEE 2012 Vol.4(4): 503-506 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2012.V4.543

Iterative Edge-Preserving Adaptive Wiener Filter for Image Denoising

Chikako Abe and Tetsuya Shimamura

Abstract—In this paper, an image denoising method for noisy image corrupted by additive white noise is proposed. It is well known that the Adaptive Wiener Filter (AWF) is suitable for such denoising. However, some noises remain in the image processed by AWF. In order to improve the performance of the AWF, an iterative algorithm is derived. To prevent original image signal loss, a weighting parameter is used for the noise variance estimate and a technique adjusting the filter kernel is employed. Compared to the conventional AWF, the proposed filter provides better edge performance.

Index Terms—Component; image denoising, wiener filter, iterative algorithm, edge.

The authors are with School of Science and Engineering, Saitama University, Shimo-Okubo 255, Sakura-ku, Saitama, 338-8570, Japan (email:abe@sie.ics.saitama-u.ac.jp, shima@sie.ics.saitama-u.ac.jp)

Cite: Chikako Abe and Tetsuya Shimamura, "Iterative Edge-Preserving Adaptive Wiener Filter for Image Denoising," International Journal of Computer and Electrical Engineering vol. 4, no. 4, pp. 503-506, 2012.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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