A novel directional median filter based on fuzzy reasoning

Chung Chia Kang, Wen June Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper proposes a fuzzy reasoning based directional median filter to remove the impulse noise in an image efficiently. The differences between the current pixel and the neighbors on the four edge directions are adopted in the fuzzy reasoning to determine that the current pixel is an impulse noise pixel, detailed pixel, or the noise-free pixel. A simple approach, which can determine the edge direction in the current sliding window, is proposed simultaneously. By the acquirement of the edge direction, the proposed filter will remove the noise if the current pixel is detected as an impulse noise. Simulation results show that the proposed filter outperforms several existing filter schemes for impulse noise removal.

Original languageEnglish
Title of host publication12th IEEE International Symposium on Consumer Electronics - ISCE2008
DOIs
StatePublished - 2008
Event12th IEEE International Symposium on Consumer Electronics - ISCE2008 - Vilamoura, Portugal
Duration: 14 Apr 200816 Apr 2008

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE

Conference

Conference12th IEEE International Symposium on Consumer Electronics - ISCE2008
Country/TerritoryPortugal
CityVilamoura
Period14/04/0816/04/08

Keywords

  • Fuzzy logic
  • Fuzzy reasoning
  • Image processing
  • Impulse noise
  • Noise removal

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