Modified Filter Equation with Improved Fuzzy Logic System Based Directional Median Filter for Mixed Noise
Bhageerath Singh Kaurav1, Karuna Markam2, Pooja Sahoo3
1Bhageerath Singh Kaurav*, Department of Electronics Engineering, Madhav Institute of Technology & Science, Gwalior (M.P), India.
2Karuna Markam, Department of Electronics Engineering, Madhav Institute of Technology & Science, Gwalior (M.P), India.
3Pooja Sahoo, Department of Electronics Engineering, Madhav Institute of Technology & Science, Gwalior (M.P), India.
Manuscript received on May 10, 2021. | Revised Manuscript received on May 21, 2021. | Manuscript published on May 30, 2021. | PP: 83-90 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G89460510721| DOI: 10.35940/ijitee.G8946.0510721
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Abstract: 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.
Keywords: DWM (Directional Median Filter), FSMF (Fuzzy Switching Median Filter), Mixed noise, Gaussian noise, Salt& pepper noise, Fuzzy logic rules, Membership functions, PSNR (Peak signal to noise ratio),Fuzzification.