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

Aldo Morales, Eugene Boman, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

1 Citation (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 languageEnglish
Pages (from-to)148-150
Number of pages3
JournalIEEE Signal Processing Letters
Volume9
Issue number5
DOIs
Publication statusPublished - 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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