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    Image filtering of impulsive noise using biologically inspired algorithms
    (Institute of Electrical and Electronics Engineers Inc., 2022) Gharraf, Hadeel Sabti; Cansever, Galip; Ahmed, Ali Saadoon
    A digital image is a two-dimensional representation of an image in the form of a numerical matrix. In grayscale images, pixels are represented by an integer numeric value that is between 0 and 255. One of the main problems encountered today is the appearance of noise in digital images. The main sources of noise appear during the image acquisition and transmission phases. There are many types of noise and among the best known are some such as Gaussian or impulsive. The main goals of applying filters are to smooth the image, remove noise, enhancement, and edge detection, in this paper we propose the combining of the powerful set of Fuzzy rules with the genetic algorithm pattering recognition features to filter the image from impulsive noise yet retaining the image features unfiltered thus performing a powerful noise filtering on the noise without and destruction to the image itself.