Proceedings of the 2019 International Conference on Electronical, Mechanical and Materials Engineering (ICE2ME 2019)

Dense Scale Invariant Feature Transform-Based Quality Assessment for Tone Mapping Image

Authors
Liyan Zhang, Hualin Ma
Corresponding Author
Hualin Ma
Available Online March 2019.
DOI
10.2991/ice2me-19.2019.4How to use a DOI?
Keywords
high dynamic range; tone mapping; quality evaluation
Abstract

High dynamic range (HDR) images give the human visual system (HVS) a better visual experience due to their wide luminance range. However, traditional display devices can’t capture such a large luminance dynamic range, which needs to be remedied by tone mapping (TM) operation. In addition, TM images usually lose a lot of detail information in low luminance and high luminance areas, So a TM image quality evaluation method based on dense scale invariant feature transform (DSIFT) is proposed in this work. First, the DFIFT descriptors of the HDR image and the TM image are extracted respectively, and the local similarity is calculated to represent the detail loss of the TM image. Then, the local quality map is refined by using the Gauss exposure curve because HVS is more sensitive to the detail loss in low-dark and high-light areas of the TM images. Finally, considering the color distortion characteristics of TM image, an objective perception quality evaluation model is established. Experimental results on a public database demonstrate that the proposed method is in good agreement with human visual perception.

Copyright
© 2019, 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 2019 International Conference on Electronical, Mechanical and Materials Engineering (ICE2ME 2019)
Series
Advances in Engineering Research
Publication Date
March 2019
ISBN
978-94-6252-685-3
ISSN
2352-5401
DOI
10.2991/ice2me-19.2019.4How to use a DOI?
Copyright
© 2019, 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  - Liyan Zhang
AU  - Hualin Ma
PY  - 2019/03
DA  - 2019/03
TI  - Dense Scale Invariant Feature Transform-Based Quality Assessment for Tone Mapping Image
BT  - Proceedings of the 2019 International Conference on Electronical, Mechanical and Materials Engineering (ICE2ME 2019)
PB  - Atlantis Press
SP  - 14
EP  - 18
SN  - 2352-5401
UR  - https://doi.org/10.2991/ice2me-19.2019.4
DO  - 10.2991/ice2me-19.2019.4
ID  - Zhang2019/03
ER  -