Nonlinear spatio-temporal noise suppression techniques with applications in image sequence processing

Sung Jea Ko, Yong Hoon Lee

Research output: Contribution to journalConference article

12 Citations (Scopus)

Abstract

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, an adaptive CWM (ACWM) filter having a variable central weight is presented. It is shown that the ACWM filter can preserve image structures under motion while suppressing noise, and thus can be effectively used in image sequence filtering.

Original languageEnglish
Pages (from-to)662-665
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume1
Publication statusPublished - 1991
Event1991 IEEE International Symposium on Circuits and Systems Part 1 (of 5) - Singapore, Singapore
Duration: 1991 Jun 111991 Jun 14

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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