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A Simple and Efficient Median Filter for Removing High-Density Impulse Noise in Images

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Abstract

This paper presents a simple median filter, which first applies the adaptive median filter and then evaluates a median value to perform an algorithm. Conventionally, most of the median filters have excellent performances only for the corrupted images with low-density impulse noise, but they usually do not perform very well for high-density impulse noise. Although some filters with a noise detector perform well for high-density noise, their algorithms are usually complicated and time consuming. Besides, their performances on low-density noise have not been presented yet. The proposed median filter can efficiently remove both low- and high-density impulse noises in corrupted images, and the experiments show its filtering performances by comparing with some conventional median filters.

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Acknowledgments

The study was sponsored with a Grant, NSC-101-2221-E-011-105, from the National Science Council, Taiwan.

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Authors and Affiliations

  1. Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Road, Taipei, 10607, Taiwan, China

    Yong-Lin Kuo & Chen-Wu Tai

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  1. Yong-Lin Kuo
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  2. Chen-Wu Tai
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Correspondence to Yong-Lin Kuo.

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Kuo, YL., Tai, CW. A Simple and Efficient Median Filter for Removing High-Density Impulse Noise in Images. Int. J. Fuzzy Syst. 17, 67–75 (2015). https://doi.org/10.1007/s40815-015-0005-8

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  • DOI: https://doi.org/10.1007/s40815-015-0005-8

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