A New Frequency Selective Weighted Pseudo-median Filter Algorithm

Yang Xi; Fan Xiao-ping; Liu Shao-qiang; u Zhi-hua

doi:10.3724/SP.J.1146.2006.01697

Volume 30 Issue 5

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(5): 1257-1260

Yang Xi, Fan Xiao-ping, Liu Shao-qiang, u Zhi-hua. A New Frequency Selective Weighted Pseudo-median Filter Algorithm[J]. Journal of Electronics & Information Technology, 2008, 30(5): 1257-1260. doi: 10.3724/SP.J.1146.2006.01697

Citation:

Yang Xi, Fan Xiao-ping, Liu Shao-qiang, u Zhi-hua. A New Frequency Selective Weighted Pseudo-median Filter Algorithm[J]. Journal of Electronics & Information Technology, 2008, 30(5): 1257-1260. doi: 10.3724/SP.J.1146.2006.01697

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A New Frequency Selective Weighted Pseudo-median Filter Algorithm

doi: 10.3724/SP.J.1146.2006.01697

Received Date: 2006-11-01
Rev Recd Date: 2007-06-18
Publish Date: 2008-05-19

Abstract

Abstract

The pseudo-median filter is a computationally efficient alternative to the median filter. This paper extends the definition of pseudo-median filter when the size of filter windows is even, and proposes the Negative Weighted Pseudo-Median Filter (NWPMF). The NWPM uses the Mallows theory of sample selection probability to design the weight coefficients according to the respective impulse response of FIR filter with the desired spectral response. Because the weight coefficients can be negative or positive, the NWPM is characteristic of the frequency selection. The simulation results show that the NWPM can reduce the computations and is superior on reserving fine details, removing impulsive noise and high frequency periodic noise.

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References(1)

References

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