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Modified hybrid median filter for removal of low density random-valued impulse noise in images / Dr. Siti Noraini Sulaiman ... [et al.]

Digital images are apt to deteriorate during acquisition, storage and transmission in noise environment. Impulse Noise (IN) is one of the common noises which are prevalent in noisy communication channels, faulty pixel sensors and memory location. Its affect the accuracy of various image processing a...

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Main Authors: Sulaiman, Siti Noraini, Isa, Iza Sazanita, Hussain, Zakaria, Md Tahir, Nooritawati, Mat Isa, Nor Ashidi
Format: Research Reports
Language:English
Published: Research Management Institute 2017
Subjects:
Applications of electric power
Radio frequency identification systems
Microelectronics
Online Access:https://ir.uitm.edu.my/id/eprint/26846/1/LP_SITI%20NORAINI%20SULAIMAN%20RMI%2017_5.pdf
https://ir.uitm.edu.my/id/eprint/26846/
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spelling my.uitm.ir.268462023-07-14T00:55:14Z https://ir.uitm.edu.my/id/eprint/26846/ Modified hybrid median filter for removal of low density random-valued impulse noise in images / Dr. Siti Noraini Sulaiman ... [et al.] Sulaiman, Siti Noraini Isa, Iza Sazanita Hussain, Zakaria Md Tahir, Nooritawati Mat Isa, Nor Ashidi Applications of electric power Radio frequency identification systems Microelectronics Digital images are apt to deteriorate during acquisition, storage and transmission in noise environment. Impulse Noise (IN) is one of the common noises which are prevalent in noisy communication channels, faulty pixel sensors and memory location. Its affect the accuracy of various image processing applications such as image segmentation, image restoration, image classification and image compression. There are two common types of IN models defined in image processing; Fixed-Valued Impulse Noise (FIN) and Random-Valued Impulse Noise (RVIN). The FIN model is easier to restore compared to RVIN model as the RVIN normally occurs randomly across the image. Median filter is the most popular choice for removing the IN due to its efficiency and high computational efficiency. However, the performance drops at high noise densities, resulting the appearance of patches and unpreserved image. Another major drawbacks is, it normally been implemented uniformly across the whole image without being consider whether the treated pixels are "noisy-pixels" or "noise-free pixels". Therefore, this project is intended to address the conflicting issue through formulating new RVIN removal algorithm based on two phase iterative method; adaptive-switching filtering methodology and local preserving scheme. The switching phase act as detector to identify, locate and distinguish "noisy-pixels" by utilizing the histogram information of the corrupted images and fuzzy reasoning concept. The incorporation of fuzzy is to handle uncertainty present in the corrupted images. The detected "noisy-pixels" will then be subjected to the next stage of preserving action, while the "noise-free pixels" are reserved and left untreated. The preserving stage will utilize local information based on belongingness concept in order to provide an accurate outcome; the noise kept attenuated and the original image is preserved. The fundamental findings from this research can be applied in many applications such as in medical imaging (radiology department (MRI image)) and telecommunication (satellite image). Research Management Institute 2017 Research Reports NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/26846/1/LP_SITI%20NORAINI%20SULAIMAN%20RMI%2017_5.pdf Modified hybrid median filter for removal of low density random-valued impulse noise in images / Dr. Siti Noraini Sulaiman ... [et al.]. (2017) [Research Reports] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Applications of electric power
Radio frequency identification systems
Microelectronics
spellingShingle Applications of electric power
Radio frequency identification systems
Microelectronics
Sulaiman, Siti Noraini
Isa, Iza Sazanita
Hussain, Zakaria
Md Tahir, Nooritawati
Mat Isa, Nor Ashidi
Modified hybrid median filter for removal of low density random-valued impulse noise in images / Dr. Siti Noraini Sulaiman ... [et al.]
description Digital images are apt to deteriorate during acquisition, storage and transmission in noise environment. Impulse Noise (IN) is one of the common noises which are prevalent in noisy communication channels, faulty pixel sensors and memory location. Its affect the accuracy of various image processing applications such as image segmentation, image restoration, image classification and image compression. There are two common types of IN models defined in image processing; Fixed-Valued Impulse Noise (FIN) and Random-Valued Impulse Noise (RVIN). The FIN model is easier to restore compared to RVIN model as the RVIN normally occurs randomly across the image. Median filter is the most popular choice for removing the IN due to its efficiency and high computational efficiency. However, the performance drops at high noise densities, resulting the appearance of patches and unpreserved image. Another major drawbacks is, it normally been implemented uniformly across the whole image without being consider whether the treated pixels are "noisy-pixels" or "noise-free pixels". Therefore, this project is intended to address the conflicting issue through formulating new RVIN removal algorithm based on two phase iterative method; adaptive-switching filtering methodology and local preserving scheme. The switching phase act as detector to identify, locate and distinguish "noisy-pixels" by utilizing the histogram information of the corrupted images and fuzzy reasoning concept. The incorporation of fuzzy is to handle uncertainty present in the corrupted images. The detected "noisy-pixels" will then be subjected to the next stage of preserving action, while the "noise-free pixels" are reserved and left untreated. The preserving stage will utilize local information based on belongingness concept in order to provide an accurate outcome; the noise kept attenuated and the original image is preserved. The fundamental findings from this research can be applied in many applications such as in medical imaging (radiology department (MRI image)) and telecommunication (satellite image).
format Research Reports
author Sulaiman, Siti Noraini
Isa, Iza Sazanita
Hussain, Zakaria
Md Tahir, Nooritawati
Mat Isa, Nor Ashidi
author_facet Sulaiman, Siti Noraini
Isa, Iza Sazanita
Hussain, Zakaria
Md Tahir, Nooritawati
Mat Isa, Nor Ashidi
author_sort Sulaiman, Siti Noraini
title Modified hybrid median filter for removal of low density random-valued impulse noise in images / Dr. Siti Noraini Sulaiman ... [et al.]
title_short Modified hybrid median filter for removal of low density random-valued impulse noise in images / Dr. Siti Noraini Sulaiman ... [et al.]
title_full Modified hybrid median filter for removal of low density random-valued impulse noise in images / Dr. Siti Noraini Sulaiman ... [et al.]
title_fullStr Modified hybrid median filter for removal of low density random-valued impulse noise in images / Dr. Siti Noraini Sulaiman ... [et al.]
title_full_unstemmed Modified hybrid median filter for removal of low density random-valued impulse noise in images / Dr. Siti Noraini Sulaiman ... [et al.]
title_sort modified hybrid median filter for removal of low density random-valued impulse noise in images / dr. siti noraini sulaiman ... [et al.]
publisher Research Management Institute
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/26846/1/LP_SITI%20NORAINI%20SULAIMAN%20RMI%2017_5.pdf
https://ir.uitm.edu.my/id/eprint/26846/
_version_ 1772815495936868352
score 13.211869

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