IIARD International Institute of Academic Research and Development

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND MATHEMATICAL THEORY (IJCSMT )

E-ISSN 2545-5699
P-ISSN 2695-1924
VOL. 10 NO. 3 2024
DOI: 10.56201/ijcsmt.v10.no3.2024.pg19.31

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A Hybrid Model in Denoising Salt and Pepper Noise in Grey Images

Cookey, I.B, Bennett, E.O, Anireh, V.I.E, & Matthias, D

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Abstract

Salt and pepper noise is a prevalent type of impulsive noise that often contaminates digital photographs, resulting in a decline in their quality and hindering subsequent image processing operations. This paper provides a comprehensive examination of a hybrid model (Fuzzy Logic and Genetic Algorithm) denoising methods that are specifically developed to handle salt and pepper noise in grayscale images. It tends to offer insights into their fundamental concepts, advantages, and constraints.

keywords:

Salt and Pepper noise, Fuzzy logic, Genetic Algorithm, Grey images.

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