전자공학회논문지 (Journal of the Institute of Electronics and Information Engineers)

  • 제51권2호
  • /
  • Pages.207-213
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  • 2014
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  • 2287-5026(pISSN)
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  • 2288-159X(eISSN)
대한전자공학회 (The Institute of Electronics and Information Engineers)
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다단계 기반 수정된 미디언 필터

Modified median filter based on multi-step

  • 투고 : 2013.10.24
  • 발행 : 2014.02.25
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⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 임펄스 잡음을 제거하는 수정된 미디언 필터를 제안한다. 다단계를 기반으로 하는 제안 방법은 먼저 잡음 영상에서 잡음과 화소를 분리하고 잡음으로 판단된 화소를 미디언 필터링한다. 이때 필터링에 사용하는 주변 화소들을 에지에 따라 방향을 조절하여 필터링하는 선형필터링 한 값으로 대체한다. 따라서 제안하는 방법은 에지를 유지할 뿐 아니라 일정한 지역에서 잡음을 효과적으로 제거한다. 실험결과, 제안하는 방법이 기존 수정된 미디언 필터 보다 향상된 결과를 보인다.

In this paper, we propose a modified median filter for impulse noise reduction. The proposed method based on multi-step finds noisy pixels from the corrupted image and applies filtering on the noisy pixels. Neighbor pixels for filtering are filtered by linear filter which adjusts filtering direction according to an edge. Thus, our proposed method not only preserves edge, but also reduces noise in uniform region. Experimental results show that our proposed method has better quality than those by existing modified median filtering method.

키워드

참고문헌

  1. A. K. Jain, Fundamental of Digital Image Processing, Prentice Hall, 1989.
  2. T. Sun, M. Gabbouj, and Y. Neuvo, "Center weighted median filters: some properties and their applications in image processing," Signal Processing, vol. 35, pp. 213-229, 1994. https://doi.org/10.1016/0165-1684(94)90212-7
  3. N. Himayat and S. A. Kassam, "A structure for adaptive order statistics filtering," IEEE Trans. Image Processing, vol. 3, no. 3, pp. 265-280, May 1994. https://doi.org/10.1109/83.287020
  4. Y. H. Lee and S. A. Kassam, "Generalized median filtering and techniques," IEEE Trans. Acoust. Speech and Signal Process., vol. 33, no. 3, Jun. 1985.
  5. R. Bernstein, "Adaptive nonlinear filters for simultaneous removal of different kinds of noise in images," IEEE Trans. on Circuits and Systems, vol. CAS-34, pp. 1275-1291, Nov. 1987.
  6. S. M. M. Roomi, T. P. Maheswari, and V. A. Kumar, "A detail preserving filter for impulse noise detection and removal," ICGST-GVIP Journal, vol. 7, no 3, Nov. 2007.
  7. X. Long and N. -H. Kim, "Modified median filter for impulse noise removal," Journal of Korea Institute of Information and Communication Engineering, pp. 461-466, vol. 17, no 2, Feb. 2013. https://doi.org/10.6109/jkiice.2013.17.2.461
  8. T. T. Hieu and S. -B. Cho, "Super resolution image reconstruction based on local gradient and median filter," Journal of The Institute of Electronics Engineers of Korea, vol. 47, no. 1, pp.120-127, Jan. 2010.
  9. W. -M. Jang, Y. -C. Kim, and S. -H. Hong, "Deinterlacing method based on edge direction refinement using weighted median filter," Journal of The Institute of Electronics Engineers of Korea, vol. 46, no. 4, pp.89-96, Jul. 2009.
  10. G. Ramponi, "A rational filter for image smoothing," IEEE Signal Processing Letters, vol. 3, no. 3, pp. 63-65, Mar. 1996. https://doi.org/10.1109/97.481156
  11. R. Castagno, S. Marsi, and G. Ramponi, "A simple algorithm for the reduction of blocking artifacts in images and its implementation," IEEE Trans. on Consumer Electronics, vol. 4, pp 1062-1070, Aug. 1998.

피인용 문헌

  1. 히스토그램의 변곡점을 이용한 영상 신호의 잡음 제거 vol.24, pp.11, 2014, https://doi.org/10.6109/jkiice.2020.24.11.1431