SALT AND PEPPER NOISE REMOVING IN GRAY IMAGES BASED ON FUZZY LOGIC

Ghazwan Jabbar, Ahmed (2023) SALT AND PEPPER NOISE REMOVING IN GRAY IMAGES BASED ON FUZZY LOGIC. Central Asian Journal of Mathematical Theory and Computer Sciences, 4 (8). pp. 81-90. ISSN 2660 - 5309

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Abstract

Digital image processing plays a pivotal role in various fields, from medical imaging to surveillance systems. However, the acquired images are often susceptible to various types of noise, such in the form of salt and pepper noise, which can severely degrade image quality and hinder subsequent analysis.In this study, we introduce a fuzzy impulse noise removal algorithm as a potential solution. The efficiency of the suggested algorithms is assessed by comparing their performance to various existing noise removal methods. Objective measurements, including peak signal-to-noise ratio and mean square error, are used to evaluate the results. The findings demonstrate that the proposed algorithms deliver excellent outcomes in noise reduction and image detail preservation across a broad range of noise densities.

Item Type:	Article
Subjects:	Q Science > QA Mathematics
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	03 Nov 2023 06:30
Last Modified:	03 Nov 2023 06:30
URI:	http://eprints.umsida.ac.id/id/eprint/12575

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