Nonnegative Matrix Factorization Approach for Image Reconstruction

被引：1

作者：

Wang, Yueyang ^{[1
]}

Shafai, Bahram ^{[1
]}

机构：

[1] Northeastern Univ, Dept Elect & Comp Engn, Boston, MA 02115 USA

来源：

2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2021) | 2021年

关键词：

Nonnegative matrix factorization; image processing; data analysis; algorithms; optimization;

D O I：

10.1109/CSCI54926.2021.00076

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nonnegative Matrix Factorization (NMF) has been proved to be a powerful method in data processing and has also shown success in applications such as feature extraction and image representation. In this paper, we propose two symmetric matrix-based methods, Symcom and Symize, to achieve square strategy (SQR) in SQR-NMF. This integration process allows the matrix to preserve symmetry property associated with images to enhance image reconstruction. Simulation results show that Symcom performs better on super wide or super long data matrices and Symize achieves better results on symmetrical data matrices.

引用

页码：1639 / 1642

页数：4

共 9 条

[1] Image Analysis Based on Nonnegative/Binary Matrix Factorization [J].

Asaoka, Hinako ;

Kudo, Kazue .

JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 2020, 89 (08)

[2] Robust embedded projective nonnegative matrix factorization for image analysis and feature extraction [J].

Belachew, Melisew Tefera ;

Del Buono, Nicoletta .

PATTERN ANALYSIS AND APPLICATIONS, 2017, 20 (04) :1045-1060

[3]

C. U. C. Laboratory, 1994, DAT FAC

[4]

Kuang D., 2012, P 2012 SIAM INT C DA, P106

[5] Learning the parts of objects by non-negative matrix factorization [J].

Lee, DD ;

Seung, HS .

NATURE, 1999, 401 (6755) :788-791

[6]

Lee DD, 2001, ADV NEUR IN, V13, P556

[7] Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks [J].

Li, Xuan ;

Gan, John Q. ;

Wang, Haixian .

NEUROIMAGE, 2018, 166 :259-275

[8] ON THE COMPLEXITY OF NONNEGATIVE MATRIX FACTORIZATION [J].

Vavasis, Stephen A. .

SIAM JOURNAL ON OPTIMIZATION, 2009, 20 (03) :1364-1377

[9]

Wang Y., 2019, P INT C IM PROC COMP, P72

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