Adaptive filter for removing image gauss noise based histogram
Zengcai Wang · Systems engineering and electronics · 2004
The more information of original image is used in removing image noise, the better will the effect of filter be, but this is usually impossible or impracticable. In the light of this we present a novel approach for image restoration. The approach estimates histogram of original image through input image to get a membership that contains information of original image through this histogram, then a weighted fuzzy mean filter is established by this membership. Meanwhile, the filter can adopt different filter scale in adaptive mode in the light of character divergence of image region and intensity of noise. Experimental results show that the filter gives superior performance compared with conventional filters and other fuzzy filter, especially, the superiority will more obvious when noise probability exceeds 0.3.;