대한전기학회논문지:시스템및제어부문D (The Transactions of the Korean Institute of Electrical Engineers D)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

의학 영상에서의 영역 기반 해상도대잡음비 향상

Region Based Contrast-to-Noise Ratio Enhancement for Medical Images

  • 송영철 (경북대 공대 전자공학과) ;
  • 최두현 (경북대 공대 전자공학과)
  • 발행 : 2004.02.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

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 filter 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${\times}$256 size, 256 graylevel images) filtered images by the proposed method show much improved subjective image quality with higher peak signal-to-noise ratio compared to those by the conventional Wiener filtering.

키워드

참고문헌

  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 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