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 language | English |
|---|---|
| Title of host publication | International Conference on Signal Processing Proceedings, ICSP |
| Publisher | IEEE |
| Pages | 602-605 |
| Number of pages | 4 |
| Volume | 1 |
| Publication status | Published - 1996 |
| Event | Proceedings of the 1996 3rd International Conference on Signal Processing, ICSP'96. Part 1 (of 2) - Beijing, China Duration: 1996 Oct 14 → 1996 Oct 18 |
Other
| Other | Proceedings of the 1996 3rd International Conference on Signal Processing, ICSP'96. Part 1 (of 2) |
|---|---|
| City | Beijing, China |
| Period | 96-10-14 → 96-10-18 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Computer Science Applications