Image reconstruction using singular value decomposition

The singular value decomposition (SVD) is an effective tool to reconstruct the image approximately towards the original image. This paper will introduce and explores image reconstruction by applying the SVD on gray-scale image. As quality measurements, we used Compression Ratio (CR) and Root-Mean Sq...

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Main Authors: Samsul Ariffin Abdul Karim, Muhammad Izzatullah Mohd Mustafa, Bakri Abdul Karim, Mohammad Khatim Hasan, Jumat Sulaiman, Mohd Tahir Ismail
格式: Article
語言:English
出版: AIP Publishing 2013
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在線閱讀:https://eprints.ums.edu.my/id/eprint/18593/1/Image%20reconstruction.pdf
https://eprints.ums.edu.my/id/eprint/18593/
https://doi.org/10.1063/1.4801133
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spelling my.ums.eprints.185932018-02-03T13:52:35Z https://eprints.ums.edu.my/id/eprint/18593/ Image reconstruction using singular value decomposition Samsul Ariffin Abdul Karim Muhammad Izzatullah Mohd Mustafa Bakri Abdul Karim Mohammad Khatim Hasan Jumat Sulaiman Mohd Tahir Ismail TA Engineering (General). Civil engineering (General) The singular value decomposition (SVD) is an effective tool to reconstruct the image approximately towards the original image. This paper will introduce and explores image reconstruction by applying the SVD on gray-scale image. As quality measurements, we used Compression Ratio (CR) and Root-Mean Squared Error (RMSE). The results indicated that for certain images the value of k is smaller than for other images. The value of k is defined as the rank for the closet matrix and the constant integer k can be chosen expectantly less than diagonal matrix n, and the digital image corresponding to outer product expansion, Qk still have very close to the original image. AIP Publishing 2013-04 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/18593/1/Image%20reconstruction.pdf Samsul Ariffin Abdul Karim and Muhammad Izzatullah Mohd Mustafa and Bakri Abdul Karim and Mohammad Khatim Hasan and Jumat Sulaiman and Mohd Tahir Ismail (2013) Image reconstruction using singular value decomposition. AIP Conference Proceedings, 152 (1). pp. 269-274. ISSN 0094-243X https://doi.org/10.1063/1.4801133
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Samsul Ariffin Abdul Karim
Muhammad Izzatullah Mohd Mustafa
Bakri Abdul Karim
Mohammad Khatim Hasan
Jumat Sulaiman
Mohd Tahir Ismail
Image reconstruction using singular value decomposition
description The singular value decomposition (SVD) is an effective tool to reconstruct the image approximately towards the original image. This paper will introduce and explores image reconstruction by applying the SVD on gray-scale image. As quality measurements, we used Compression Ratio (CR) and Root-Mean Squared Error (RMSE). The results indicated that for certain images the value of k is smaller than for other images. The value of k is defined as the rank for the closet matrix and the constant integer k can be chosen expectantly less than diagonal matrix n, and the digital image corresponding to outer product expansion, Qk still have very close to the original image.
format Article
author Samsul Ariffin Abdul Karim
Muhammad Izzatullah Mohd Mustafa
Bakri Abdul Karim
Mohammad Khatim Hasan
Jumat Sulaiman
Mohd Tahir Ismail
author_facet Samsul Ariffin Abdul Karim
Muhammad Izzatullah Mohd Mustafa
Bakri Abdul Karim
Mohammad Khatim Hasan
Jumat Sulaiman
Mohd Tahir Ismail
author_sort Samsul Ariffin Abdul Karim
title Image reconstruction using singular value decomposition
title_short Image reconstruction using singular value decomposition
title_full Image reconstruction using singular value decomposition
title_fullStr Image reconstruction using singular value decomposition
title_full_unstemmed Image reconstruction using singular value decomposition
title_sort image reconstruction using singular value decomposition
publisher AIP Publishing
publishDate 2013
url https://eprints.ums.edu.my/id/eprint/18593/1/Image%20reconstruction.pdf
https://eprints.ums.edu.my/id/eprint/18593/
https://doi.org/10.1063/1.4801133
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score 13.251813