Adaptive WFM filter with noise detection capability

Chang Shing Lee, Yau-Hwang Kuo

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

Abstract

A new fuzzy filter for the removal of additive impulse noise, called Adaptive Weighted Fuzzy Mean (AWFM) filter, is proposed and analyzed in this paper. The AWFM is an extensive version of Weighted Fuzzy Mean (WFM) filter [1] and its filtered output signal is either the output of WFM or the processed signal decided by the detection algorithm. This filter gives better performance compared with conventional filters when evaluated by Mean Absolute Error (MAE), Mean Square Error (MSE) and subjective evaluation criteria. For dedicated hardware implementation, AWFM is also much simpler than the conventional median filter.

Original languageEnglish
Title of host publicationInternational Conference on Signal Processing Proceedings, ICSP
PublisherIEEE
Pages602-605
Number of pages4
Volume1
Publication statusPublished - 1996
EventProceedings of the 1996 3rd International Conference on Signal Processing, ICSP'96. Part 1 (of 2) - Beijing, China
Duration: 1996 Oct 141996 Oct 18

Other

OtherProceedings of the 1996 3rd International Conference on Signal Processing, ICSP'96. Part 1 (of 2)
CityBeijing, China
Period96-10-1496-10-18

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Science Applications

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