APPLICATION OF THE ALGORITHM OF PARAMETRIC AND NON-PARAMETRIC CONFIDENCE INTERVALS IN PRE-PROCESSING IMAGE DATA

Digital image processing and enhancement is one of the most important and frequently used issues in many fields of image processing. When handling images or sending them over a particular channel, they are subject to certain noise and require filtering methods. In this paper, the parametric confiden...

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Bibliographic Details
Published inJournal of mechanics of continua and mathematical sciences Vol. 18; no. 11
Main Author Layous Alhasnawi, Mohammad Kaisb
Format Journal Article
LanguageEnglish
Published 30.11.2024
Online AccessGet full text
ISSN0973-8975
2454-7190
2454-7190
DOI10.26782/jmcms.2023.11.00001

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Summary:Digital image processing and enhancement is one of the most important and frequently used issues in many fields of image processing. When handling images or sending them over a particular channel, they are subject to certain noise and require filtering methods. In this paper, the parametric confidence interval algorithm was compared to the nonparametric confidence interval algorithm for processing the noisy images. The results showed that a nonparametric confidence interval algorithm is better at defining the external parameters of an image in terms of noise elimination and enhancement landmarks.
ISSN:0973-8975
2454-7190
2454-7190
DOI:10.26782/jmcms.2023.11.00001