Tensor Completion Using Kronecker Rank-1 Tensor Train With Application to Visual Data Inpainting

The problem of data reconstruction with partly sampled elements under a tensor structure, which is referred to as tensor completion, is addressed in this paper. The properties of the rank-1 tensor train decomposition and the tensor Kronecker decomposition are introduced at first, and then the tensor...

Full description

Bibliographic Details
Main Authors: Weize Sun, Yuan Chen, Hing Cheung So
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8440663/
_version_ 1818645025844625408
author Weize Sun
Yuan Chen
Hing Cheung So
author_facet Weize Sun
Yuan Chen
Hing Cheung So
author_sort Weize Sun
collection DOAJ
description The problem of data reconstruction with partly sampled elements under a tensor structure, which is referred to as tensor completion, is addressed in this paper. The properties of the rank-1 tensor train decomposition and the tensor Kronecker decomposition are introduced at first, and then the tensor Kronecker rank as well as Kronecker rank-1 tensor train decomposition are defined. The general tensor completion idea is presented following the criterion of minimizing the number of Kronecker rank-1 tensors, which is relaxed to the thresholding problem and the solution is derived. Furthermore, the number of Kronecker rank-1 tensors that the proposed algorithm can retrieve and its complexity order are analyzed. Computer simulations are carried out on real visual data sets and demonstrate that our method yields a superior performance over the state-of-the-art approaches in terms of recovery accuracy and/or computational complexity.
first_indexed 2024-12-17T00:24:11Z
format Article
id doaj.art-c56055eae1a747bda72b6615f9c58b0f
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-12-17T00:24:11Z
publishDate 2018-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj.art-c56055eae1a747bda72b6615f9c58b0f2022-12-21T22:10:30ZengIEEEIEEE Access2169-35362018-01-016478044781410.1109/ACCESS.2018.28661948440663Tensor Completion Using Kronecker Rank-1 Tensor Train With Application to Visual Data InpaintingWeize Sun0Yuan Chen1https://orcid.org/0000-0001-9368-5958Hing Cheung So2Shenzhen University, Shenzhen, ChinaUniversity of Science and Technology Beijing, Beijing, ChinaDepartment of Electronic Engineering, City University of Hong Kong, Hong KongThe problem of data reconstruction with partly sampled elements under a tensor structure, which is referred to as tensor completion, is addressed in this paper. The properties of the rank-1 tensor train decomposition and the tensor Kronecker decomposition are introduced at first, and then the tensor Kronecker rank as well as Kronecker rank-1 tensor train decomposition are defined. The general tensor completion idea is presented following the criterion of minimizing the number of Kronecker rank-1 tensors, which is relaxed to the thresholding problem and the solution is derived. Furthermore, the number of Kronecker rank-1 tensors that the proposed algorithm can retrieve and its complexity order are analyzed. Computer simulations are carried out on real visual data sets and demonstrate that our method yields a superior performance over the state-of-the-art approaches in terms of recovery accuracy and/or computational complexity.https://ieeexplore.ieee.org/document/8440663/Image reconstructionmultidimensional signal processingtensor completiontensor trainKronecker rank-1 decomposition
spellingShingle Weize Sun
Yuan Chen
Hing Cheung So
Tensor Completion Using Kronecker Rank-1 Tensor Train With Application to Visual Data Inpainting
IEEE Access
Image reconstruction
multidimensional signal processing
tensor completion
tensor train
Kronecker rank-1 decomposition
title Tensor Completion Using Kronecker Rank-1 Tensor Train With Application to Visual Data Inpainting
title_full Tensor Completion Using Kronecker Rank-1 Tensor Train With Application to Visual Data Inpainting
title_fullStr Tensor Completion Using Kronecker Rank-1 Tensor Train With Application to Visual Data Inpainting
title_full_unstemmed Tensor Completion Using Kronecker Rank-1 Tensor Train With Application to Visual Data Inpainting
title_short Tensor Completion Using Kronecker Rank-1 Tensor Train With Application to Visual Data Inpainting
title_sort tensor completion using kronecker rank 1 tensor train with application to visual data inpainting
topic Image reconstruction
multidimensional signal processing
tensor completion
tensor train
Kronecker rank-1 decomposition
url https://ieeexplore.ieee.org/document/8440663/
work_keys_str_mv AT weizesun tensorcompletionusingkroneckerrank1tensortrainwithapplicationtovisualdatainpainting
AT yuanchen tensorcompletionusingkroneckerrank1tensortrainwithapplicationtovisualdatainpainting
AT hingcheungso tensorcompletionusingkroneckerrank1tensortrainwithapplicationtovisualdatainpainting