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 12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 9月 8 → 1996 9月 11 |
Other
| Other | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) |
|---|---|
| 城市 | New Orleans, LA, USA |
| 期間 | 96-09-08 → 96-09-11 |
All Science Journal Classification (ASJC) codes
- 軟體
- 理論電腦科學
- 人工智慧
- 應用數學