Adaptive WFM filter with noise detection capability

Chang Shing Lee, Yau-Hwang Kuo

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題International Conference on Signal Processing Proceedings, ICSP
發行者IEEE
頁面602-605
頁數4
1
出版狀態Published - 1996
事件Proceedings of the 1996 3rd International Conference on Signal Processing, ICSP'96. Part 1 (of 2) - Beijing, China
持續時間: 1996 10月 141996 10月 18

Other

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

All Science Journal Classification (ASJC) codes

  • 軟體
  • 訊號處理
  • 電腦科學應用

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