Subjective Assessment Method for Multiple Displays with and without Super Resolution

Chinatsu Mori, Seiichi Gohshi

2017

Abstract

At present, although 4K TV sets are available in the market, the provision of 4K TV content is still not sufficient. Almost all TV content is in high-definition television (HDTV) broadcasting, and images/videos with insufficient resolution are up-converted to the resolution of the display. Thus, almost all 4K TV sets are equipped with super-resolution (SR) technology to improve the resolution of the content. However, the performance of SR on TV sets has not been guaranteed. Although the capability of SR needs to be assessed, there has been no standard method for such an assessment. In this paper, a subjective assessment method for multiple displays is proposed. Subjective assessment experiments of displays with and without SR are conducted to confirm the ability of an SR method. As the results of statistical analysis, the superiority of the SR in resolution quality is proved by the significant differences indicating the reproducible results. As the reproducible results are obtainable, the proposed method is useful to assess multiple displays. In this paper, the methodology of the proposed assessment method is described and the experimental results are presented.

Paper Citation

in Harvard Style

Mori C. and Gohshi S. (2017). Subjective Assessment Method for Multiple Displays with and without Super Resolution . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 260-265. DOI: 10.5220/0006215202600265

in Bibtex Style

@conference{visapp17,
author={Chinatsu Mori and Seiichi Gohshi},
title={Subjective Assessment Method for Multiple Displays with and without Super Resolution},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={260-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006215202600265},
isbn={978-989-758-225-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Subjective Assessment Method for Multiple Displays with and without Super Resolution
SN - 978-989-758-225-7
AU - Mori C.
AU - Gohshi S.
PY - 2017
SP - 260
EP - 265
DO - 10.5220/0006215202600265