Earticle

초록

영어

image sequences. Our proposed algorithm uses adaptive weights based on a triangular membership function: Symmetrical, Continuous Function. In this algorithm median filter is used to suppress noise. Experimental results show when the images are corrupted by highdensity Salt and Pepper noise, our fuzzy based algorithm for noise filtering of image sequences, is much more effective in suppressing noise and preserving edges than the previously reported algorithms such as [1-13]. Indeed, assigned weights to noisy pixels are very adaptive so that it well makes use of correlation of pixels. On the other hand, the motion estimation methods are erroneous and in high-density noise they may degrade the filter performance. Therefore, our proposed fuzzy algorithm doesn’t need any estimation of motion trajectory. The proposed algorithm admissibly removes noise without having any knowledge of Salt and Pepper noise density.

목차

Abstract
 1. Introduction
 2. Image Filtering Using Consecutive Frames
 3. Concatenated Median and Center-Weighted Median Filters
  3.1. Concatenated Median Filter
  3.2. Center-Weighted Median, CWM Filter
 4. Adaptive Fuzzy Weighted Filter based on Symmetrical and ContinuousTriangular Membership Function
 5. Experimental Results
 6. Conclusion
 References

키워드

저자

• Mahmoud Saeidi [ Iran Telecommunication Research Center ]
• Leila Chehreghani Anzabi [ Iran Telecommunication Research Center ]
• Mahmoud Khaleghi [ Iran Telecommunication Research Center ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605