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Impulsive noise removal based on sequence multi-scale top-hattransformation

  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

To efficiently remove impulsive noises, a novel algorithm based on sequencemulti-scale top-hat transformation is proposed in this paper. Firstly, themulti-scale white and black top-hat transformations are constructed. Then, thenoise decision functions are introduced to decide and remove the real noisepixels at each scale. Finally, the multi-scale white top-hat transformation,multi-scale black top-hat transformation and noise decision functions areserialized to form the sequence multi-scale top-hat transformation, whichachieves good performance for impulsive noise removal. Experimental results showthat our proposed algorithm is efficient. ICIC International

Original languageEnglish
Pages (from-to)337-342
Number of pages6
JournalICIC Express Letters
Volume3
Issue number3
StatePublished - Sep 2009

Keywords

  • Impulsive noise removal
  • Mathematicalmorphology
  • Multi-scale
  • Top-hat transformation

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