Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Research on Image Dimension Reduction Method Based on Non-negative Matrix Factorization and Discrete Cosine Transform

Authors
Panlong Sun, Qinghua Wang
Corresponding Author
Panlong Sun
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.258How to use a DOI?
Keywords
NMF; DCT; Image dimension reduction; Compression
Abstract

According to the denoising technique based on the non-negative matrix factorization (NMF) and Redundancy technique based on discrete cosine transform (DCT), a fusion method is proposed, namely, NMF-DCT dimension reduction method. This method is applied to the dimension reduction of ORL face images. The image reconstruction degree and compression ratio are used to be as evaluation criterion. The experimental results show that the NMF-DCT method is more effective than only use the NMF or only use the DCT. The NMF-DCT method has a good effect on the face image compression.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.258How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Panlong Sun
AU  - Qinghua Wang
PY  - 2016/12
DA  - 2016/12
TI  - Research on Image Dimension Reduction Method Based on Non-negative Matrix Factorization and Discrete Cosine Transform
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 1263
EP  - 1267
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.258
DO  - https://doi.org/10.2991/mcei-16.2016.258
ID  - Sun2016/12
ER  -