Fuzzy selection filtering algorithm based on local statistic information
Jian Lu · Tv Engineering · 2003
An adaptive fuzzy selection filter based on local statistics is introduced.The output of the adaptive filter is the weighted sum of sigma filter and multistage median filter.The weights are estimated by using fuzzy rules.Since the an-tecedents of the fuzzy rules can be composed of several local measurements,it is possible for the proposed filter to adjust its weights to adapt to local characteristics.Experimental results of the proposed algorithm show its effectiveness of filtering sig-nals which are corrupted by more than one type of noise,e.g.additive Gaussian noise plus impulses.