Noise reduction based on directional Wiener filter using local adaptive estimation window 


Vol. 27,  No. 6, pp. 568-574, Jun.  2002


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  Abstract

The main issue of noise reduction of image is how to preserve edge and reduce noise. Usually, The Wiener filter is used for this purpose. But the conventional Wiener filter cannot remove noise well in both edge and smooth region due to the single size estimation window. In addition, it ignores the correlation between pixels. In this paper, we propose a new noise reduction algorithm, in which adaptive estimation window is used according to property of smooth region and edge region. In order to make edge more clear, directional Gaussian mask and directional estimation window combines to the Wiener tilter according to direction of edge. From the simulation results. it can be seen that the proposed algorithm showed improves performance in both PSNR and subjective evaluation

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  Cite this article

[IEEE Style]

D. Woo, Y. Kim, J. Kim, "Noise reduction based on directional Wiener filter using local adaptive estimation window," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 6, pp. 568-574, 2002. DOI: .

[ACM Style]

Dong-hun Woo, Yoo-shin Kim, and Jae-ho Kim. 2002. Noise reduction based on directional Wiener filter using local adaptive estimation window. The Journal of Korean Institute of Communications and Information Sciences, 27, 6, (2002), 568-574. DOI: .

[KICS Style]

Dong-hun Woo, Yoo-shin Kim, Jae-ho Kim, "Noise reduction based on directional Wiener filter using local adaptive estimation window," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 6, pp. 568-574, 6. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880