An Improved Mean Filter Algorithm for Impulse Noise Elimination

Wang Tang; Jin Tang

doi:10.4028/www.scientific.net/AMR.936.2281

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 936An Improved Mean Filter Algorithm for Impulse...

An Improved Mean Filter Algorithm for Impulse Noise Elimination

Abstract:

Since the standard mean filter has some drawbacks, an improved mean filter is proposed in this paper to overcome them. In this improved algorithm, noise detection is used to find the noise which is caused by impulse wave in the image. Based on the result of noise detection, window size would be selected in the improved mean filter to minimize the influence of the noise. According to the result of computer simulation, it shows that the improved mean filter is much more efficient than the standard mean filter in eliminating the noise as well as in protecting the details of the image. It also shows its advantage in filtering speed.

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Periodical:

Advanced Materials Research (Volume 936)

Pages:

2281-2285

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.936.2281

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Online since:

June 2014

Authors:

Wang Tang*, Jin Tang

Keywords:

Impulse Wave, Noise Detection, Standard Mean Filter, Threshold

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* - Corresponding Author

References

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