relation: https://khub.utp.edu.my/scholars/3642/
title: Image reconstruction using singular value decomposition
creator: Abdul Karima, S.A.
creator: Mohd Mustafa, M.I.
creator: Abdul Karim, B.
creator: Hasan, M.K.
creator: Sulaiman, J.
creator: Ismail, M.T.
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, Q k still have very close to the original image. © 2013 AIP Publishing LLC.
date: 2013
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Abdul Karima, S.A. and Mohd Mustafa, M.I. and Abdul Karim, B. and Hasan, M.K. and Sulaiman, J. and Ismail, M.T.  (2013) Image reconstruction using singular value decomposition.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876891606&doi=10.1063%2f1.4801133&partnerID=40&md5=aa5fd10df821c172b6365d95a02f1a45
relation: 10.1063/1.4801133
identifier: 10.1063/1.4801133