Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra

To improve the accuracy of color image completion with missing entries, we present a recovery method based on generalized higher-order scalars. We extend the traditional second-order matrix model to a more comprehensive higher-order matrix equivalent, called the “t-matrix” model, which incorporates...

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Main Authors: Liang Liao, Zhuang Guo, Qi Gao, Yan Wang, Fajun Yu, Qifeng Zhao, Stephen John Maybank, Zhoufeng Liu, Chunlei Li, Lun Li
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/12/10/954
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author Liang Liao
Zhuang Guo
Qi Gao
Yan Wang
Fajun Yu
Qifeng Zhao
Stephen John Maybank
Zhoufeng Liu
Chunlei Li
Lun Li
author_facet Liang Liao
Zhuang Guo
Qi Gao
Yan Wang
Fajun Yu
Qifeng Zhao
Stephen John Maybank
Zhoufeng Liu
Chunlei Li
Lun Li
author_sort Liang Liao
collection DOAJ
description To improve the accuracy of color image completion with missing entries, we present a recovery method based on generalized higher-order scalars. We extend the traditional second-order matrix model to a more comprehensive higher-order matrix equivalent, called the “t-matrix” model, which incorporates a pixel neighborhood expansion strategy to characterize the local pixel constraints. This “t-matrix” model is then used to extend some commonly used matrix and tensor completion algorithms to their higher-order versions. We perform extensive experiments on various algorithms using simulated data and publicly available images. The results show that our generalized matrix completion model and the corresponding algorithm compare favorably with their lower-order tensor and conventional matrix counterparts.
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spelling doaj.art-e7f0c19eb3ce4d008172a18a95ad54a22023-11-19T15:38:25ZengMDPI AGAxioms2075-16802023-10-01121095410.3390/axioms12100954Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional AlgebraLiang Liao0Zhuang Guo1Qi Gao2Yan Wang3Fajun Yu4Qifeng Zhao5Stephen John Maybank6Zhoufeng Liu7Chunlei Li8Lun Li9School of Electronics and Information, Zhongyuan University of Technology, Zhengzhou 451191, ChinaSchool of Electronics and Information, Zhongyuan University of Technology, Zhengzhou 451191, ChinaSchool of Electronics and Information, Zhongyuan University of Technology, Zhengzhou 451191, ChinaSchool of Electronics and Information, Zhongyuan University of Technology, Zhengzhou 451191, ChinaSchool of Electronics and Information, Zhongyuan University of Technology, Zhengzhou 451191, ChinaSchool of Electronics and Information, Zhongyuan University of Technology, Zhengzhou 451191, ChinaBirkbeck College, University of London, London WC1E 7HY, UKSchool of Electronics and Information, Zhongyuan University of Technology, Zhengzhou 451191, ChinaSchool of Electronics and Information, Zhongyuan University of Technology, Zhengzhou 451191, ChinaSchool of Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaTo improve the accuracy of color image completion with missing entries, we present a recovery method based on generalized higher-order scalars. We extend the traditional second-order matrix model to a more comprehensive higher-order matrix equivalent, called the “t-matrix” model, which incorporates a pixel neighborhood expansion strategy to characterize the local pixel constraints. This “t-matrix” model is then used to extend some commonly used matrix and tensor completion algorithms to their higher-order versions. We perform extensive experiments on various algorithms using simulated data and publicly available images. The results show that our generalized matrix completion model and the corresponding algorithm compare favorably with their lower-order tensor and conventional matrix counterparts.https://www.mdpi.com/2075-1680/12/10/954higher-order tensor completionpixel neighborhood strategygeneralized matrix modellow rankfinite-dimensional algebraconvex optimization
spellingShingle Liang Liao
Zhuang Guo
Qi Gao
Yan Wang
Fajun Yu
Qifeng Zhao
Stephen John Maybank
Zhoufeng Liu
Chunlei Li
Lun Li
Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra
Axioms
higher-order tensor completion
pixel neighborhood strategy
generalized matrix model
low rank
finite-dimensional algebra
convex optimization
title Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra
title_full Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra
title_fullStr Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra
title_full_unstemmed Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra
title_short Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra
title_sort color image recovery using generalized matrix completion over higher order finite dimensional algebra
topic higher-order tensor completion
pixel neighborhood strategy
generalized matrix model
low rank
finite-dimensional algebra
convex optimization
url https://www.mdpi.com/2075-1680/12/10/954
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AT zhuangguo colorimagerecoveryusinggeneralizedmatrixcompletionoverhigherorderfinitedimensionalalgebra
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AT yanwang colorimagerecoveryusinggeneralizedmatrixcompletionoverhigherorderfinitedimensionalalgebra
AT fajunyu colorimagerecoveryusinggeneralizedmatrixcompletionoverhigherorderfinitedimensionalalgebra
AT qifengzhao colorimagerecoveryusinggeneralizedmatrixcompletionoverhigherorderfinitedimensionalalgebra
AT stephenjohnmaybank colorimagerecoveryusinggeneralizedmatrixcompletionoverhigherorderfinitedimensionalalgebra
AT zhoufengliu colorimagerecoveryusinggeneralizedmatrixcompletionoverhigherorderfinitedimensionalalgebra
AT chunleili colorimagerecoveryusinggeneralizedmatrixcompletionoverhigherorderfinitedimensionalalgebra
AT lunli colorimagerecoveryusinggeneralizedmatrixcompletionoverhigherorderfinitedimensionalalgebra