Center weighted median filters and their applications to image enhancement

Sung-Jea Ko, Yong Hoon Lee

Research output: Contribution to journalArticle

860 Citations (Scopus)

Abstract

The center weighted median (CWM) filter, which is a weighted median filter giving more weight only to the central value of each window, is studied. This filter can preserve image details while suppressing additive white and/or impulsive-type noise. The statistical properties of the CWM filter are analyzed. It is shown that the CWM filter can outperform the median filter. Some relationships between CWM and other median-type filters, such as the Winsorizing smoother and the multistage median filter, are derived. In an attempt to improve the performance of CWM filters, an adaptive CWM (ACWM) filter having a space varying central weight is proposed. It is shown that the ACWM filter is an excellent detail preserving smoother that can suppress signal-dependent noise as well as signal-independent noise.

Original languageEnglish
Pages (from-to)984-993
Number of pages10
JournalIEEE Transactions on Circuits and Systems
Volume38
Issue number9
DOIs
Publication statusPublished - 1991 Sep 1
Externally publishedYes

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Median filters
Image enhancement
Adaptive filters

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Center weighted median filters and their applications to image enhancement. / Ko, Sung-Jea; Lee, Yong Hoon.

In: IEEE Transactions on Circuits and Systems, Vol. 38, No. 9, 01.09.1991, p. 984-993.

Research output: Contribution to journalArticle

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