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Modified Median Filter for Impulse Noise Removal

임펄스 잡음 제거를 위한 변형된 메디안 필터

  • ;
  • 김남호 (부경대학교 제어계측공학과)
  • Received : 2012.10.10
  • Accepted : 2012.11.05
  • Published : 2013.02.28

Abstract

As the technology of the digital information age has developed rapidly, lots of research has been done on the digital image processing techniques, such as the image restoration. However, the SM(Standard Median) filter is a typical method of recovering the image which are corrupted by the impulse noise, this method will also reduce the quality of image by generating an error in the edge region. In this paper, in order to restore the corrupted images in the impulse noise environment, a modified median filter algorithm is proposed, which uses the pixels as the center and takes double mask. By using the double mask, we are succeeded in acquiring the excellent performance on noise-canceling, edge preservation, and also in improving the quality of image.

사회가 고도의 디지털 정보화 시대로 발전함에 따라 영상복원 등 디지털 영상처리 기술분야에 관한 많은 연구가 진행되고 있다. 임펄스 잡음에 훼손된 영상을 복원하는데 대표적인 방법은 SM(Standard Median) 필터가 있지만, SM 필터는 에지영역에서 오류를 나타내어 영상의 품질을 저하시킨다. 본 논문에서는 임펄스 잡음환경에서 훼손된 영상을 복원하기 위해 화소를 중심으로 하여 이중 마스크를 취하는 변형된 메디안 필터 알고리즘을 제안하였다. 이중 마스크를 취함에 따라 제안한 방법은 우수한 잡음제거 및 에지보존 특성을 나타내었고 영상의 화질을 개선하였다.

Keywords

References

  1. R. C. Gonzalez and R. E. woods, Eds., Digital image Processing, Prentice Hall, 2007.
  2. L. Yin, R. Yang, M. Gabbouj and Y. Neuvo, "Weighted median filters: a tutorial", IEEE Trans. Circuits System, vol. 43, pp. 157-192, 1996. https://doi.org/10.1109/82.486465
  3. S. Zhang and M. A. Karim, "A new impulse detector for switching median filters", IEEE Signal Processing. Lett., vol. 9, no. 4, pp. 360-363, Nov. 2002. https://doi.org/10.1109/LSP.2002.805310
  4. P. Ng and K. Ma, "A switching median filter with boundary discriminative noise detection for extremely corrupted image", IEEE Trans. Image Processing, vol. 15, no. 6, pp. 1506-1516, June 2006. https://doi.org/10.1109/TIP.2005.871129
  5. Ko. S. J, Lee. Y. H, "Center weighted median filters and their application to image enhancement", IEEE Trans. Circuits system, vol. 38, no. 9, pp. 984-993, 1991. https://doi.org/10.1109/31.83870
  6. Changyou Wang, Fuping Yang, Hui Gong, Linlin Li, "A new kind of adaptive weighted median filter algorithm", ICCASM International Conference, pp. 22-24, Oct. 2010.
  7. Gao Yinyu and Nam-Ho Kim, "A Study on Image Restoration Algorithm in Random-valued Impulse Noise Environment", International Journal of KIIMICS, vol. 9, no. 3, pp. 331-335, June 2011.

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