Minimum spanning tree filters for edge-preserving impulse noise removal

Kohei Inoue, Kenji Hara, Kiichi Urahama

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We propose edge-preserving smoothing (EPS) filters based on minimum spanning trees (MSTs) on image planes. The shape of the filter window is adaptively determined for each pixel by the MST, which avoids stepping over edges in images. Experimental results showed that the proposed MST filters can remove impulse noise better than conventional EPS filters.

Original languageEnglish
Pages (from-to)J287-J289
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume66
Issue number8
DOIs
Publication statusPublished - Aug 24 2012

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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