VLSI architectures for weighted order statistic (WOS) filters

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The class of median filters has been extended to include weighted order statistics (WOS) filters, to improve the flexibility of the filtering operation. The WOS filter weights each input within a sample window, and thus retains the original temporal order information. In this paper, we present efficient VLSI architectures for non-recursive and recursive WOS filters based on (i) array (ii) stack filter and (iii) sorting network structures. All these architectures maintain a weighted rank for each sample in the sample window. As the window shifts for each new output, the weighted ranks are updated. We analyze the implementation complexity for each architecture and verify our results through physical implementations.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
Editors Anon
PublisherIEEE
Pages320-323
Number of pages4
Volume2
StatePublished - 1998
EventProceedings of the 1998 IEEE International Symposium on Circuits and Systems, ISCAS. Part 5 (of 6) - Monterey, CA, USA
Duration: May 31 1998Jun 3 1998

Other

OtherProceedings of the 1998 IEEE International Symposium on Circuits and Systems, ISCAS. Part 5 (of 6)
CityMonterey, CA, USA
Period5/31/986/3/98

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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  • Cite this

    Chakrabarti, C., & Lucke, L. (1998). VLSI architectures for weighted order statistic (WOS) filters. In Anon (Ed.), Proceedings - IEEE International Symposium on Circuits and Systems (Vol. 2, pp. 320-323). IEEE.