Random noise elimination Of image based on edge preservation

Abstract

This report aims to present the random noise elimination of image based on edge preservation. This solution is a pixel processing using 29 templates. Each template consists of the considered pixel and its neighbor pixels. To eliminate noises, the smoothing process replaces the new pixel intensity into the same considered processing pixel by the mean intensity of neighbor pixels. The condition of the template selection is based on the minimum variance of templates. As the experimental results, this solution brings the peak signal-to-noise ratio (PSNR) higher than Gaussian filter, Tomita’s marks, Fukuda’s marks and Nagao’s marks and also gains contrast difference.