DWM (Directional weighted median) filter is very popular in filtering digital image and remove mixed noise. Fuzzy logic is implemented with median filters to improve its performance. In the previous work, fuzzy logic system is implemented with switching median filter and gives better performance than directional median filter as well as switching median filter. Experimenting directional median filter with same fuzzy logic system didn’t yield to better results therefore fuzzy logic parameters has been changes as per strong points of directional weighted median filter and a constant has been included in the filtering equation to improve the results. So in this proposed work, we have successfully implemented directional weighted median filter with fuzzy logic system which is proving better results than DWM and FSMF (Fuzzy Switching Median Filter). PSNR (Peak Signal to Noise Ratio)is used for qualitative analysis of results.

All the sources of digital images like camera as well as communication methods like wireless or wired communication leads to corruption of pixels of digital image. Usually digital image consists of values from 0 to 255 where 0 represents black pixel and 255 represents white pixel. Due to above sources and communication method, these pixels change there value which leads to change in the output values. Mixed noise is popular now a day which is a combination of Gaussian noise and salt & pepper noise. Median filters are popular in removing the noise from the digital images. Fuzzy based controllers are very popular now a day to solve issues better than others. In this paper, we have discussed fuzzy logic, median filter and directional median filter to remove the corrupted pixels out of digital image. Parameters like PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error) are used for qualitative analysis of filter.