A Hybrid Model in Denoising Salt and Pepper Noise in Grey Images
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 noiseFuzzy logicGenetic AlgorithmGrey images.
References
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