Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Saliency-aware Image Quality Assessment

Authors
Zhanghui Liu, Yize Huang, Yuzhen Niu, Lening Lin
Corresponding Author
Zhanghui Liu
Available Online May 2016.
DOI
10.2991/wartia-16.2016.280How to use a DOI?
Keywords
Visual Saliency, Image Quality Assessment, Saliency Detection,
Abstract

Currently, visual saliency detection has been discovered and widely applied in the field of computer vision and image processing. Recent works have shown that considering human visual system features in image quality assessment will improve the consistence between objective assessment results and subjective visual perception. So we propose saliency-aware image quality assessment through a universal method to combine saliency detection with image quality assessment metrics. Since there is no image dataset used for image quality assessment and saliency detection researches simultaneously, we create a new image database, called TID-2013S, which is inheriting from image quality assessment database TID-2013 and contains 25 manually labeled ground truth images. In this paper, we select 8 representative full reference image quality assessment metrics and 7 state-of-the-art saliency detection algorithms to validate the performance of our proposed method. Experiment results show that when using the appropriate parameter of mapping function, our saliency-aware approach achieves the best performance improvement by 5.41%. And for most of image quality assessment metrics, the MCA saliency detection algorithm works best.

Copyright
© 2016, 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 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.280How to use a DOI?
Copyright
© 2016, 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  - Zhanghui Liu
AU  - Yize Huang
AU  - Yuzhen Niu
AU  - Lening Lin
PY  - 2016/05
DA  - 2016/05
TI  - Saliency-aware Image Quality Assessment
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1352
EP  - 1358
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.280
DO  - 10.2991/wartia-16.2016.280
ID  - Liu2016/05
ER  -