Image sequence enhancement based on adaptive symmetric order statistics

Sung-Jea Ko, Thomas Forest

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Statistical properties of the spatiotemporal center-weighted median (CWM) filter for images sequences are investigated. It is statistically shown that the CWM filter preserves image structures under motion at the expense of noise suppression. To improve the CWM filter, a filter which can be effectively used in image sequence processing, the adaptive directional CWM filter (ADCWM) is proposed. This filter utilizes a multistage filtering structure based on adaptive symmetric order statistic (ASOS) operators which produce a pair of order statistics symmetric about the median. The ASOS's are selected by using adaptive parameters adjusted by local image statistics. It is shown experimentally that the proposed filter can preserve image structure while alternating noise without the use of motion estimation.

Original languageEnglish
Pages (from-to)504-509
Number of pages6
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Volume40
Issue number8
DOIs
Publication statusPublished - 1993 Aug 1

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Median filters
Statistics
Motion estimation
Mathematical operators
Processing

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Image sequence enhancement based on adaptive symmetric order statistics. / Ko, Sung-Jea; Forest, Thomas.

In: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 40, No. 8, 01.08.1993, p. 504-509.

Research output: Contribution to journalArticle

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