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

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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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  -