Image reconstruction using singular value decomposition

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

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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.

Item Type: Article
Keyword: Image reconstruction, Singular values
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Date Deposited: 03 Feb 2018 21:52
Last Modified: 03 Feb 2018 21:52

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