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An approximate arithmetic progression approach for image filtering technique

Master of Science in Engineering Mathematics

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Bibliographic Details
Main Author: Charmouti, Bilal
Other Authors: Ahmad Kadri, Junoh, Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2018
Subjects:
Image processing
Image processing > Digital techniques
Digital images
Image quality
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78014
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spelling my.unimap-780142023-03-06T07:55:56Z An approximate arithmetic progression approach for image filtering technique Charmouti, Bilal Ahmad Kadri, Junoh, Dr. Image processing Image processing -- Digital techniques Digital images Image quality Master of Science in Engineering Mathematics Image have a significant importance in many fields in human life such as, in medicine, photography, biology, astronomy, industry and defense. Thus, it attracts the attention of large number of researchers, among them those interested in preserving the image features from any factors that may reduce the image quality. Removing noise from the image by retaining the features of this treated image remains a standing challenge for the researchers in image processing field. Therefore, this study is carried out to propose and implement a new filtering technique for removing Salt & Pepper noise from the digital image. This technique permits the narrowing of the gap between the original and the restored images, visually and quantitatively by adopting the mathematical concept (arithmetic progression) due to its ability in modelling the variation of pixels intensity in the image. The principle of the proposed filtering technique relies on the precision, where it keeps the uncorrupted pixels by using effective noise detection and converts the corrupted pixels by replacing them with other closest pixels from the original image at lower cost and with more simplicity. The results illustrate that the proposed filtering technique gives an acceptable performance compared to the existing methods whether visually or quantitatively with peak signal-to-noise ratio (PSNR) and mean squared error (MSE). 2018 2023-03-06T07:50:37Z 2023-03-06T07:50:37Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78014 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) Institute of Engineering Mathematics
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Image processing
Image processing -- Digital techniques
Digital images
Image quality
spellingShingle Image processing
Image processing -- Digital techniques
Digital images
Image quality
Charmouti, Bilal
An approximate arithmetic progression approach for image filtering technique
description Master of Science in Engineering Mathematics
author2 Ahmad Kadri, Junoh, Dr.
author_facet Ahmad Kadri, Junoh, Dr.
Charmouti, Bilal
format Thesis
author Charmouti, Bilal
author_sort Charmouti, Bilal
title An approximate arithmetic progression approach for image filtering technique
title_short An approximate arithmetic progression approach for image filtering technique
title_full An approximate arithmetic progression approach for image filtering technique
title_fullStr An approximate arithmetic progression approach for image filtering technique
title_full_unstemmed An approximate arithmetic progression approach for image filtering technique
title_sort approximate arithmetic progression approach for image filtering technique
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2018
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78014
_version_ 1772813089722335232
score 13.214268

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