%0 Journal Article %1 noauthororeditor %A Ahmed, Ghazwan Jabbar %D 2023 %J CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES %K Fuzzy Impulse Noise detection, filtering, logic, noise, %N 8 %P 81-90 %T SALT AND PEPPER NOISE FILTERING USING FUZZY LOGIC IN GRAYSCALE IMAGES %U https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/502/558 %V 4 %X 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.

@article{noauthororeditor, 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.}, added-at = {2024-02-26T11:24:02.000+0100}, author = {Ahmed, Ghazwan Jabbar}, biburl = {https://www.bibsonomy.org/bibtex/2c856e2af8c8bbde9dda711f2b07c8aa4/centralasian_20}, interhash = {5473bebcf4497778e0bb4c10353975a3}, intrahash = {c856e2af8c8bbde9dda711f2b07c8aa4}, issn = {2660-5309}, journal = {CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES}, keywords = {Fuzzy Impulse Noise detection, filtering, logic, noise,}, language = {english}, month = aug, number = 8, pages = {81-90}, timestamp = {2024-02-26T11:24:02.000+0100}, title = {SALT AND PEPPER NOISE FILTERING USING FUZZY LOGIC IN GRAYSCALE IMAGES}, url = {https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/502/558}, volume = 4, year = 2023 }