An efficient algorithm to calculate sample and rank selection probabilities for weighted median filters

Aldo Morales; Eugene Boman; Sung Jea Ko

doi:10.1109/LSP.2002.1009005

An efficient algorithm to calculate sample and rank selection probabilities for weighted median filters

Aldo Morales, Eugene Boman, Sung Jea Ko

School of Electrical Engineering

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

2 Citations (Scopus)

Abstract

Sample and rank selection probabilities are important in the analysis of weighted median filters as well as in comparing linear and nonlinear filters. In this correspondence, we propose a new, efficient algorithm to calculate these probabilities for weighted median filters. The computational savings of this new algorithm are substantial and compare favorably with other known algorithms.

Original language	English
Pages (from-to)	148-150
Number of pages	3
Journal	IEEE Signal Processing Letters
Volume	9
Issue number	5
DOIs	https://doi.org/10.1109/LSP.2002.1009005
Publication status	Published - 2002 May

Keywords

Nonlinear filters
Rank and sample selection probabilities
Weighted median filters

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/LSP.2002.1009005

Cite this

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title = "An efficient algorithm to calculate sample and rank selection probabilities for weighted median filters",

abstract = "Sample and rank selection probabilities are important in the analysis of weighted median filters as well as in comparing linear and nonlinear filters. In this correspondence, we propose a new, efficient algorithm to calculate these probabilities for weighted median filters. The computational savings of this new algorithm are substantial and compare favorably with other known algorithms.",

keywords = "Nonlinear filters, Rank and sample selection probabilities, Weighted median filters",

author = "Aldo Morales and Eugene Boman and Ko, {Sung Jea}",

year = "2002",

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AU - Boman, Eugene

AU - Ko, Sung Jea

PY - 2002/5

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N2 - Sample and rank selection probabilities are important in the analysis of weighted median filters as well as in comparing linear and nonlinear filters. In this correspondence, we propose a new, efficient algorithm to calculate these probabilities for weighted median filters. The computational savings of this new algorithm are substantial and compare favorably with other known algorithms.

AB - Sample and rank selection probabilities are important in the analysis of weighted median filters as well as in comparing linear and nonlinear filters. In this correspondence, we propose a new, efficient algorithm to calculate these probabilities for weighted median filters. The computational savings of this new algorithm are substantial and compare favorably with other known algorithms.

KW - Nonlinear filters

KW - Rank and sample selection probabilities

KW - Weighted median filters

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U2 - 10.1109/LSP.2002.1009005

DO - 10.1109/LSP.2002.1009005

M3 - Article

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SP - 148

EP - 150

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

IS - 5

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An efficient algorithm to calculate sample and rank selection probabilities for weighted median filters

Abstract

Keywords

ASJC Scopus subject areas

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