An approximate arithmetic progression approach for image filtering technique

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...

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Format:	Thesis
Language:	English
Subjects:	Image processing Image processing > Digital techniques Digital images Image quality
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/4/Bilal%20Charmouti.pdf
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spelling	my-unimap-780142023-03-06T07:55:56Z An approximate arithmetic progression approach for image filtering technique Ahmad Kadri, Junoh, Dr. 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). Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78014 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/1/Page%201-24.pdf b6f45278b37283204e530a0b339a3052 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/2/Full%20text.pdf 61b03f98cc1449b470bb78d93bd50489 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/4/Bilal%20Charmouti.pdf ec939bf76f9e90c24d76b9a395c3f22f Universiti Malaysia Perlis (UniMAP) Image processing Image processing -- Digital techniques Digital images Image quality Institute of Engineering Mathematics
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Ahmad Kadri, Junoh, Dr.
topic	Image processing Image processing -- Digital techniques Digital images Image quality
spellingShingle	Image processing Image processing -- Digital techniques Digital images Image quality An approximate arithmetic progression approach for image filtering technique
description	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).
format	Thesis
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
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	Institute of Engineering Mathematics
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78014/4/Bilal%20Charmouti.pdf
_version_	1776104262173982720

An approximate arithmetic progression approach for image filtering technique

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