Adaptive weighted fuzzy mean filter

Ch Sh Lee, Yau-Hwang Kuo

研究成果: Paper同行評審

4 引文 斯高帕斯(Scopus)

摘要

A new fuzzy filter for the removal of additive impulse noise, called the 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 [l] and its filtered output signal is either the output of WFM or the processed signal by the detection algorithm. This filter gives very superior 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
頁面2110-2116
頁數7
出版狀態Published - 1996 十二月 1
事件Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) - New Orleans, LA, USA
持續時間: 1996 九月 81996 九月 11

Other

OtherProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3)
城市New Orleans, LA, USA
期間96-09-0896-09-11

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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