Image Quality Assessment Based on Low Order Moment Features
Summary :
This letter presents a new image quality metric using low order discrete orthogonal moments. The moment features are extracted in a block manner and the relative moment differences (RMD) are computed. A new exponential function based on RMD is proposed to generate the quality score. The performance of the proposed method is evaluated on public databases. Experimental results and comparisons demonstrate the efficiency of the proposed method.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.2 pp.538-542
- Publication Date
- 2014/02/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E97.A.538
- Type of Manuscript
- Special Section LETTER (Special Section on Image Media Quality)
- Category
Authors
Leida LI
China University of Mining and Technology
Hancheng ZHU
China University of Mining and Technology
Gaobo YANG
Hunan University
Keyword
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Leida LI, Hancheng ZHU, Gaobo YANG, "Image Quality Assessment Based on Low Order Moment Features" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 2, pp. 538-542, February 2014, doi: 10.1587/transfun.E97.A.538.
Abstract: This letter presents a new image quality metric using low order discrete orthogonal moments. The moment features are extracted in a block manner and the relative moment differences (RMD) are computed. A new exponential function based on RMD is proposed to generate the quality score. The performance of the proposed method is evaluated on public databases. Experimental results and comparisons demonstrate the efficiency of the proposed method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.538/_p
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@ARTICLE{e97-a_2_538,
author={Leida LI, Hancheng ZHU, Gaobo YANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Image Quality Assessment Based on Low Order Moment Features},
year={2014},
volume={E97-A},
number={2},
pages={538-542},
abstract={This letter presents a new image quality metric using low order discrete orthogonal moments. The moment features are extracted in a block manner and the relative moment differences (RMD) are computed. A new exponential function based on RMD is proposed to generate the quality score. The performance of the proposed method is evaluated on public databases. Experimental results and comparisons demonstrate the efficiency of the proposed method.},
keywords={},
doi={10.1587/transfun.E97.A.538},
ISSN={1745-1337},
month={February},}
Copy
TY - JOUR
TI - Image Quality Assessment Based on Low Order Moment Features
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 538
EP - 542
AU - Leida LI
AU - Hancheng ZHU
AU - Gaobo YANG
PY - 2014
DO - 10.1587/transfun.E97.A.538
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2014
AB - This letter presents a new image quality metric using low order discrete orthogonal moments. The moment features are extracted in a block manner and the relative moment differences (RMD) are computed. A new exponential function based on RMD is proposed to generate the quality score. The performance of the proposed method is evaluated on public databases. Experimental results and comparisons demonstrate the efficiency of the proposed method.
ER -
English
