Digital removal of power frequency artifacts using a Fourier space median filter

Ghada A. Al Hudhud; Martin J. Turner

doi:10.1109/LSP.2005.851257

Digital removal of power frequency artifacts using a Fourier space median filter

Research output: Contribution to journal › Article › peer-review

Abstract

An efficient technique to remove periodic noise from digital images via a novel implementation of the median filter is presented and discussed within this letter. The technique is based on applying the nonfnear filter to the Fourier amplitude spectrum of the image. Since the median filter is normally used to spatially reduce spiky noise in digital images, using this filter in Fourier space is especially useful for removing periodic frequency noise. Provisional experimental results are shown that demonstrate that the proposed filter provides good performance when compared with a similar Fourier filter: the notch filter. This letter, when considering a prototype version of a Fourier-based median filter, defines the set of user-defined options that are available and also defines a possible solution to solve the distortions caused around the de component due to natural spectrum decay. © 2005 IEEE.

Original language	English
Pages (from-to)	573-576
Number of pages	3
Journal	IEEE Signal Processing Letters
Volume	12
Issue number	8
DOIs	https://doi.org/10.1109/LSP.2005.851257
Publication status	Published - Aug 2005

Keywords

1/κ spectral decay
Periodic noise reduction
Power spectrum notch filtering
Weighted median filter

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10.1109/LSP.2005.851257

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title = "Digital removal of power frequency artifacts using a Fourier space median filter",

abstract = "An efficient technique to remove periodic noise from digital images via a novel implementation of the median filter is presented and discussed within this letter. The technique is based on applying the nonfnear filter to the Fourier amplitude spectrum of the image. Since the median filter is normally used to spatially reduce spiky noise in digital images, using this filter in Fourier space is especially useful for removing periodic frequency noise. Provisional experimental results are shown that demonstrate that the proposed filter provides good performance when compared with a similar Fourier filter: the notch filter. This letter, when considering a prototype version of a Fourier-based median filter, defines the set of user-defined options that are available and also defines a possible solution to solve the distortions caused around the de component due to natural spectrum decay. {\textcopyright} 2005 IEEE.",

keywords = "1/κ spectral decay, Periodic noise reduction, Power spectrum notch filtering, Weighted median filter",

author = "{Al Hudhud}, {Ghada A.} and Turner, {Martin J.}",

year = "2005",

month = aug,

doi = "10.1109/LSP.2005.851257",

language = "English",

volume = "12",

pages = "573--576",

journal = "IEEE Signal Processing Letters",

issn = "1070-9908",

publisher = "IEEE",

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T1 - Digital removal of power frequency artifacts using a Fourier space median filter

AU - Al Hudhud, Ghada A.

AU - Turner, Martin J.

PY - 2005/8

Y1 - 2005/8

N2 - An efficient technique to remove periodic noise from digital images via a novel implementation of the median filter is presented and discussed within this letter. The technique is based on applying the nonfnear filter to the Fourier amplitude spectrum of the image. Since the median filter is normally used to spatially reduce spiky noise in digital images, using this filter in Fourier space is especially useful for removing periodic frequency noise. Provisional experimental results are shown that demonstrate that the proposed filter provides good performance when compared with a similar Fourier filter: the notch filter. This letter, when considering a prototype version of a Fourier-based median filter, defines the set of user-defined options that are available and also defines a possible solution to solve the distortions caused around the de component due to natural spectrum decay. © 2005 IEEE.

AB - An efficient technique to remove periodic noise from digital images via a novel implementation of the median filter is presented and discussed within this letter. The technique is based on applying the nonfnear filter to the Fourier amplitude spectrum of the image. Since the median filter is normally used to spatially reduce spiky noise in digital images, using this filter in Fourier space is especially useful for removing periodic frequency noise. Provisional experimental results are shown that demonstrate that the proposed filter provides good performance when compared with a similar Fourier filter: the notch filter. This letter, when considering a prototype version of a Fourier-based median filter, defines the set of user-defined options that are available and also defines a possible solution to solve the distortions caused around the de component due to natural spectrum decay. © 2005 IEEE.

KW - 1/κ spectral decay

KW - Periodic noise reduction

KW - Power spectrum notch filtering

KW - Weighted median filter

U2 - 10.1109/LSP.2005.851257

DO - 10.1109/LSP.2005.851257

M3 - Article

SN - 1070-9908

VL - 12

SP - 573

EP - 576

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

IS - 8

ER -

Digital removal of power frequency artifacts using a Fourier space median filter

Abstract

Keywords

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