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Denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images

The impulse noise often damages the human dental X-Ray images, leading to improper dental diagnosis. Hence, impulse noise removal in dental images is essential for a better subjective evaluation of human teeth. The existing denoising methods suffer from less restoration performance and less capacity...

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Main Authors: Sinnasamy, Thilageswari, Shajahan, Mohamed, Mohd. Aris, Siti Armiza, Usman, Sahnius, Mohd. Noor, Norliza
Format: Article
Language:English
Published: Science and Information Organization 2022
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/100904/1/MohamedShajahan2022_DenoisingofImpulseNoiseusingPartition.pdf
http://eprints.utm.my/id/eprint/100904/
http://dx.doi.org/10.14569/IJACSA.2022.0130932
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spelling my.utm.1009042023-05-18T04:23:53Z http://eprints.utm.my/id/eprint/100904/ Denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images Sinnasamy, Thilageswari Shajahan, Mohamed Mohd. Aris, Siti Armiza Usman, Sahnius Mohd. Noor, Norliza T Technology (General) The impulse noise often damages the human dental X-Ray images, leading to improper dental diagnosis. Hence, impulse noise removal in dental images is essential for a better subjective evaluation of human teeth. The existing denoising methods suffer from less restoration performance and less capacity to handle massive noise levels. This method suggests a novel denoising scheme called "Noise removal using Partition supported Median, Interpolation, and Discrete Wavelet Transform (NRPMID)" to address these issues. To effectively reduce the salt and pepper noise up to a range of 98.3 percent noise corruption, this method is applied over the surface of dental X-ray images based on techniques like mean filter, median filter, Bi-linear interpolation, Bi-Cubic interpolation, Lanczos interpolation, and Discrete Wavelet Transform (DWT). In terms of PSNR, IEF, and other metrics, the proposed noise removal algorithm greatly enhances the quality of dental X-ray images. Science and Information Organization 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/100904/1/MohamedShajahan2022_DenoisingofImpulseNoiseusingPartition.pdf Sinnasamy, Thilageswari and Shajahan, Mohamed and Mohd. Aris, Siti Armiza and Usman, Sahnius and Mohd. Noor, Norliza (2022) Denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images. International Journal of Advanced Computer Science and Applications, 13 (9). pp. 274-280. ISSN 2158-107X http://dx.doi.org/10.14569/IJACSA.2022.0130932 DOI: 10.14569/IJACSA.2022.0130932
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Sinnasamy, Thilageswari
Shajahan, Mohamed
Mohd. Aris, Siti Armiza
Usman, Sahnius
Mohd. Noor, Norliza
Denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images
description The impulse noise often damages the human dental X-Ray images, leading to improper dental diagnosis. Hence, impulse noise removal in dental images is essential for a better subjective evaluation of human teeth. The existing denoising methods suffer from less restoration performance and less capacity to handle massive noise levels. This method suggests a novel denoising scheme called "Noise removal using Partition supported Median, Interpolation, and Discrete Wavelet Transform (NRPMID)" to address these issues. To effectively reduce the salt and pepper noise up to a range of 98.3 percent noise corruption, this method is applied over the surface of dental X-ray images based on techniques like mean filter, median filter, Bi-linear interpolation, Bi-Cubic interpolation, Lanczos interpolation, and Discrete Wavelet Transform (DWT). In terms of PSNR, IEF, and other metrics, the proposed noise removal algorithm greatly enhances the quality of dental X-ray images.
format Article
author Sinnasamy, Thilageswari
Shajahan, Mohamed
Mohd. Aris, Siti Armiza
Usman, Sahnius
Mohd. Noor, Norliza
author_facet Sinnasamy, Thilageswari
Shajahan, Mohamed
Mohd. Aris, Siti Armiza
Usman, Sahnius
Mohd. Noor, Norliza
author_sort Sinnasamy, Thilageswari
title Denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images
title_short Denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images
title_full Denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images
title_fullStr Denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images
title_full_unstemmed Denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images
title_sort denoising of impulse noise using partition- supported median, interpolation and dwt in dental x-ray images
publisher Science and Information Organization
publishDate 2022
url http://eprints.utm.my/id/eprint/100904/1/MohamedShajahan2022_DenoisingofImpulseNoiseusingPartition.pdf
http://eprints.utm.my/id/eprint/100904/
http://dx.doi.org/10.14569/IJACSA.2022.0130932
_version_ 1768006582558261248
score 13.211869

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