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/).
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 -