Title

A New Frequency Selective Weighted Pseudo-Median Filter Algorithm

Keywords

FIR; Frequency selective; Pseudo-median filter; Sample selection probability

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.

Publication Date

1-1-2008

Publication Title

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

Volume

30

Issue

5

Number of Pages

1257-1260

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.3724/sp.j.1146.2006.01697

Socpus ID

44449114108 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/44449114108

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