Image Sequence Enhancement Based on Adaptive Symmetric Order Statistics

Sung Jea Ko, Thomas M. Forest

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


Statistical properties of the spatiotemporal center-weighted median (CWM) filter for image 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 structures while attenuating 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
Issue number8
Publication statusPublished - 1993 Aug

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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