Modified Filter Equation with Improved Fuzzy Logic System Based Directional Median Filter for Mixed Noise

Bhageerath Singh Kaurav*, Karuna Markam, Pooja Sahoo
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引用次数: 2

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.
基于改进模糊逻辑系统的混合噪声方向中值滤波修正方程
DWM(方向加权中值)滤波器是数字图像滤波和去除混合噪声的常用方法。模糊逻辑是用中值滤波器实现的,以提高其性能。在以往的工作中,模糊逻辑系统采用切换中值滤波器实现,其性能优于定向中值滤波器和切换中值滤波器。在相同的模糊逻辑系统上进行定向中值滤波实验,效果并不好,因此根据定向加权中值滤波的优点,改变模糊逻辑参数,并在滤波方程中加入一个常数以改善结果。因此,在本文中,我们成功地实现了模糊逻辑系统的方向加权中值滤波器,证明了比DWM和FSMF(模糊切换中值滤波器)更好的结果。PSNR(峰值信噪比)用于结果的定性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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