Gaussian noise reduction in digital images using a modified fuzzy filter
Tanzila Rahman, Mohammad Reduanul Haque, Liton Jude Rozario, Mohammad Shorif Uddin · 2014
Noise can be easily induced in images during acquisition and transmission. Therefore, it is a basic requirement to remove noise from an image while keeping its features intact for better understanding and recognition. Gaussian and impulse are two very common types of noise. Tremendous research initiatives are being taken for removing these noises. Previously, we developed a fuzzy filter that effectively removes high density impulse noise in images. In this paper, we proposed a modified fuzzy filter for reduction of Gaussian noise. Experimental result confirms the superiority of the proposed method compared to the conventional filters in terms of both denoising and details preservation.