Development of Iterative Minimum-Maximum Filter for Reducing Impulse Noise from Highly Corrupted Images

Digital images are often corrupted by impulse noise during acquisition or transmission through communication channels. Noisy pixels are characterized by having values that are substantially different from their surroundings. In an environment of fierce noise contamination, infected pixels tend to...

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Main Author:	Jabir, Amjad Najim
Format:	Thesis
Language:	English English
Published:	2006
Subjects:	Image analysis Iterative methods (Mathematics)
Online Access:	http://psasir.upm.edu.my/id/eprint/204/1/549038_FK_2006_27.pdf
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spelling	my-upm-ir.2042013-05-27T06:46:31Z Development of Iterative Minimum-Maximum Filter for Reducing Impulse Noise from Highly Corrupted Images 2006-05 Jabir, Amjad Najim Digital images are often corrupted by impulse noise during acquisition or transmission through communication channels. Noisy pixels are characterized by having values that are substantially different from their surroundings. In an environment of fierce noise contamination, infected pixels tend to connect into noise blotches that could give the filtering algorithm an illusion of being part of the original image data. Therefore, many impulses would be difficult to detect, with the consequence of a less chance for proper detection and thus, filtering. Different methods have been introduced in literature to filter images with high noise levels, including non-linear, fuzzy and combined filters. Performance of some typical filters of each category is studied in detail and compared to that of the suggested filter.This study introduces an iterative minimum maximum filter for images highly corrupted with impulse noise, typically in the range 30-80%. Noise detection and filtering are done separately and iteratively, where the impulse detector with a threshold value and the scanning window size, are made proportional to a measure of noise level. Extensive testing, using different types of standard test images, has proved the effectiveness of the proposed filter to give lower Mean Square Error (MSE) of the filtered images. Higher Bit Correct Ratio (BCR) values with better visual quality images have also been recovered compared to other studied filters such as nonfuzzy, fuzzy, and combined filters. This study has verified that a reasonable tradeoff has been achieved between the two aspects of impulse noise suppression and image edges preservation, which are considered as two inherently conflicting requirements. To facilitate use of the proposed filter, the algorithm has been implemented as a stand-alone application, in the form of an attractive graphical user interface. Image analysis Iterative methods (Mathematics) 2006-05 Thesis http://psasir.upm.edu.my/id/eprint/204/ http://psasir.upm.edu.my/id/eprint/204/1/549038_FK_2006_27.pdf application/pdf en public masters Universiti Putra Malaysia Image analysis Iterative methods (Mathematics) Faculty of Engineering English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Image analysis Iterative methods (Mathematics)
spellingShingle	Image analysis Iterative methods (Mathematics) Jabir, Amjad Najim Development of Iterative Minimum-Maximum Filter for Reducing Impulse Noise from Highly Corrupted Images
description	Digital images are often corrupted by impulse noise during acquisition or transmission through communication channels. Noisy pixels are characterized by having values that are substantially different from their surroundings. In an environment of fierce noise contamination, infected pixels tend to connect into noise blotches that could give the filtering algorithm an illusion of being part of the original image data. Therefore, many impulses would be difficult to detect, with the consequence of a less chance for proper detection and thus, filtering. Different methods have been introduced in literature to filter images with high noise levels, including non-linear, fuzzy and combined filters. Performance of some typical filters of each category is studied in detail and compared to that of the suggested filter.This study introduces an iterative minimum maximum filter for images highly corrupted with impulse noise, typically in the range 30-80%. Noise detection and filtering are done separately and iteratively, where the impulse detector with a threshold value and the scanning window size, are made proportional to a measure of noise level. Extensive testing, using different types of standard test images, has proved the effectiveness of the proposed filter to give lower Mean Square Error (MSE) of the filtered images. Higher Bit Correct Ratio (BCR) values with better visual quality images have also been recovered compared to other studied filters such as nonfuzzy, fuzzy, and combined filters. This study has verified that a reasonable tradeoff has been achieved between the two aspects of impulse noise suppression and image edges preservation, which are considered as two inherently conflicting requirements. To facilitate use of the proposed filter, the algorithm has been implemented as a stand-alone application, in the form of an attractive graphical user interface.
format	Thesis
qualification_level	Master's degree
author	Jabir, Amjad Najim
author_facet	Jabir, Amjad Najim
author_sort	Jabir, Amjad Najim
title	Development of Iterative Minimum-Maximum Filter for Reducing Impulse Noise from Highly Corrupted Images
title_short	Development of Iterative Minimum-Maximum Filter for Reducing Impulse Noise from Highly Corrupted Images
title_full	Development of Iterative Minimum-Maximum Filter for Reducing Impulse Noise from Highly Corrupted Images
title_fullStr	Development of Iterative Minimum-Maximum Filter for Reducing Impulse Noise from Highly Corrupted Images
title_full_unstemmed	Development of Iterative Minimum-Maximum Filter for Reducing Impulse Noise from Highly Corrupted Images
title_sort	development of iterative minimum-maximum filter for reducing impulse noise from highly corrupted images
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Engineering
publishDate	2006
url	http://psasir.upm.edu.my/id/eprint/204/1/549038_FK_2006_27.pdf
_version_	1747810173473259520

Development of Iterative Minimum-Maximum Filter for Reducing Impulse Noise from Highly Corrupted Images

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