Regional information-based approach for removing Gaussian noise on images
Zongling Li · Journal of Lanzhou University · 2003
A weighted fuzzy mean filter for the removal of additive impulse noise is proposed in this paper.The weighted coefficients are membership function that carries information of the original image.Meanwhile,the filter adopts different method of image restoration in the light of divergence of image regional character.Similar to conventional filters,the new filter has the benefits of being simple and quick.Relative to neuron-fuzzy filters,it doesn't need training and learning time.Experimental result shows that the filter gives superior performance compared with conventional filters and other fuzzy filters.