Effective Noise Suppression in Edge Region Using Modified Wiener Filter

수정된 Wiener 필터를 사용한 에지 영역에서의 효과적인 잡음 제거

  • 송영철 (경북대 공대 전자공학과)
  • Published : 2003.03.01

Abstract

The modified Wiener filtering method is proposed for effective noise suppression in edge region of images corrupted by additive white gaussian noise. Although the pixels classified as a edge region in the conventional Wiener filter have lots of noise components, the conventional Wiener filler cannot remove noise effectively due to the preserving of edges. To reduce noise well in edge region, we modify filter coefficients of the conventional Wiener filter The modified filter coefficients increase in noise suppression effect In edge region, while they preserve edges for strong edge region. From simulation $(256{\time}256$ size, 256 graylevel images) filtered images by the proposed method show much improved subjective image quality with some improved peak signal-to-noise ratio compared to those by the conventional Wiener filtering.

References

  1. K. Rank and R. Unbehauen, 'An Adaptive Recursive 2-D Filter for Removal of Gaussian Noise in Images,' IEEE Trans. Imag. Proc. vol. 1, pp. 431-436, July 1992 https://doi.org/10.1109/83.148617
  2. G. Gerig, O. Kubler, R. Kikinis, and A. Jolesz, 'Nonlinear Anisotropic Filtering of MRI Data,' IEEE Trans. Med. Imag. vol.11, pp.221-232, 1992 https://doi.org/10.1109/42.141646
  3. C. B. Ahn, Y. C. Song, and D. J. Park, 'Adaptive Template Filtering for Signal-to-Noise Ration Enhancement in Magnetic mn Resonance Imaging,' IEEE Trans. Med. Imag. vol. 18, no. 6, pp. 549-556, June 1999 https://doi.org/10.1109/42.781019
  4. P. Chan and J.S. Lim, 'One-Dimensional Processing for Adaptive Image Restoration,' IEEE Trans. ASSP, vol. 33, pp. 117-126, February 1985 https://doi.org/10.1109/TASSP.1985.1164534