Enhanced fuzzy method for noise reduction of color image

A new methodology of fuzzy low pass filter is proposed to reduce additive noise on color image which is also good for impulse and multiplicative noise. This new methodology calculates distance of every single color channel between central and neighbor pixels in a spatial window and then calculates the weights by adopting low pass filter concept in electronics. Several approaches are also proposed, i.e., weighting adjustment that adopts Euclidean Norm concept and power weighted averaging function rather than Takagi-Sugeno-Kang (TSK) at defuzzification stage. These two approaches with correct combinations lead to a better result on reducing additive, multiplicative and impulse noise from color image compared to the state-of-the-art fuzzy method. Experimental results on some benchmark images show that the PSNR of the proposed Fuzzy-LPF methodology increase by around 30% of the FCG subfilter from it where we start this research. Due to the fast growing utilization of digital image communication in the world this new proposed method can be useful for noise reduction tasks on image processing.