Abstract
A new fuzzy filter for the removal of additive impulse noise, called adaptive weighted fuzzy mean (AWFM) filter, is proposed and analyzed. The AWFM is an extensive version of weighted fuzzy mean (WFM) filter and its filtered output signal is either the output of the WFM or the processed signal decided by the detection algorithm. This filter gives a better performance compared with conventional filters when evaluated by the mean absolute error (MAE), mean square error (MSE) and subjective evaluation criteria. For dedicated hardware implementation, the AWFM is also much simpler than the conventional median filter.
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