Modified minimum maximum exclusive mean filter

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 d...

Full description

Saved in:
Bibliographic Details
Main Authors: Marhaban, Mohammad Hamiruce, Jabir, Amjad Najim, Mohd Noor, Samsul Bahari
Format: Article
Language:English
English
Published: The Institute of Electronics, Information and Communication Engineers 2008
Online Access:http://psasir.upm.edu.my/id/eprint/15685/1/Modified%20minimum%20maximum%20exclusive%20mean%20filter.pdf
http://psasir.upm.edu.my/id/eprint/15685/
https://www.jstage.jst.go.jp/article/elex/5/20/5_20_865/_article
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English
English
id my.upm.eprints.15685
record_format eprints
spelling my.upm.eprints.156852015-10-26T00:02:20Z http://psasir.upm.edu.my/id/eprint/15685/ Modified minimum maximum exclusive mean filter Marhaban, Mohammad Hamiruce Jabir, Amjad Najim Mohd Noor, Samsul Bahari 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. Previously, median filters or its variant have been adopted to filter image corrupted with impulsive noise. Although advanced techniques have been added to these filters, many details such as thin lines and edges are either lost or blurred, especially at high noise situation. In this paper, a filtering method that consists of two stages, namely impulse noise detection and noise filtering is proposed, where the two stages are carried out separately and iteratively. Through computer simulation, the effectiveness of the suggested filter has been proven, especially at the high impulse noise levels. The Institute of Electronics, Information and Communication Engineers 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15685/1/Modified%20minimum%20maximum%20exclusive%20mean%20filter.pdf Marhaban, Mohammad Hamiruce and Jabir, Amjad Najim and Mohd Noor, Samsul Bahari (2008) Modified minimum maximum exclusive mean filter. IEICE Electronics Express, 5 (20). pp. 865-869. ISSN 1349-2543 https://www.jstage.jst.go.jp/article/elex/5/20/5_20_865/_article 10.1587/elex.5.865 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description 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. Previously, median filters or its variant have been adopted to filter image corrupted with impulsive noise. Although advanced techniques have been added to these filters, many details such as thin lines and edges are either lost or blurred, especially at high noise situation. In this paper, a filtering method that consists of two stages, namely impulse noise detection and noise filtering is proposed, where the two stages are carried out separately and iteratively. Through computer simulation, the effectiveness of the suggested filter has been proven, especially at the high impulse noise levels.
format Article
author Marhaban, Mohammad Hamiruce
Jabir, Amjad Najim
Mohd Noor, Samsul Bahari
spellingShingle Marhaban, Mohammad Hamiruce
Jabir, Amjad Najim
Mohd Noor, Samsul Bahari
Modified minimum maximum exclusive mean filter
author_facet Marhaban, Mohammad Hamiruce
Jabir, Amjad Najim
Mohd Noor, Samsul Bahari
author_sort Marhaban, Mohammad Hamiruce
title Modified minimum maximum exclusive mean filter
title_short Modified minimum maximum exclusive mean filter
title_full Modified minimum maximum exclusive mean filter
title_fullStr Modified minimum maximum exclusive mean filter
title_full_unstemmed Modified minimum maximum exclusive mean filter
title_sort modified minimum maximum exclusive mean filter
publisher The Institute of Electronics, Information and Communication Engineers
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/15685/1/Modified%20minimum%20maximum%20exclusive%20mean%20filter.pdf
http://psasir.upm.edu.my/id/eprint/15685/
https://www.jstage.jst.go.jp/article/elex/5/20/5_20_865/_article
_version_ 1643826000001236992