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Noise Removal using Fuzzy Mask Filter

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(11), pp.41-45
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

이상준 1 Seokhyun Yoon 2 Kim, Kwang-baek ORD ID 3

1평택대학교
2청강문화산업대학
3신라대학교

Accredited

ABSTRACT

Image processing techniques are fundamental in human vision-based image information processing. There have been widely studied areas such as image transformation, image enhancement, image restoration, and image compression. One of research subgoals in those areas is enhancing image information for the correct information retrieval. As a fundamental task for the image recognition and interpretation, image enhancement includes noise filtering techniques. Conventional filtering algorithms may have high noise removal rate but usually have difficulty in conserving boundary information. As a result, they often use additional image processing algorithms in compensation for the tradeoff of more CPU time and higher possibility of information loss. In this paper, we propose a Fuzzy Mask Filtering algorithm that has high noise removal rate but lesser problems in above-mentioned side-effects. Our algorithm firstly decides a threshold based on fuzzy logic with information from masks. Then it decides the output pixel value by that threshold. In a designed experiment that has random impulse noise and salt pepper noise, the proposed algorithm was more effective in noise removal without information loss.

Citation status

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