Removing Gaussian Noise from Color Images by Varying the Size of Fuzzy Filters

The primary issue involved in image and signal processing is to efficiently remove noise from a digital color image while preserving its features. A fuzzy filter is presented for the reduction of additive noise for digital color images. The filter consists of two sub filters. The first sub filter computes fuzzy distances among the color components of the central pixel and its neighborhood. These distances decide in what extent each component should be corrected. The objective of the second sub filter is to calculate the color components differences to retain the fine details of the image. One distance measure as the Minkowski’s distance and other as the Absolute distance are selected and compared their performances using Peak Signal to Noise Ratio   PSNR . In this paper the performance of the fuzzy noise filter with two distance measures is compared by changing the noise ratio and window size.