Additive Noise Removal for Color Images Using Fuzzy Filters
Ghanta Sudhavani, G. Madhuri, P.Venkateswara Rao, K. Satya Prasad · International Journal of Computer Science Engineering and Applications · 2013
Processing of images plays a vital role in any field such as medical and satellite applications.While capturing or transmission of images, effect of noise plays a predominant role.A filter is presented with fuzzy rules for additive noise removal from color images.The filter consists of two parts.The first part computes the distances among the color components of the center pixel and its neighboring pixels.The second part of the filter calculates 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 is selected and compared their performances using Peak Signal to Noise Ratio ( ) PSNR and Mean Square Error ( ) MSE .In this paper the performance of the fuzzy noise filter with two distance measures is compared by changing the noise ratio.The performance of these filters is compared with traditional filters.