Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Content-Aware Reverse Tone Mapping

Authors
Belen Masia, Diego Gutierrez
Corresponding Author
Belen Masia
Available Online January 2016.
DOI
10.2991/icaita-16.2016.58How to use a DOI?
Keywords
high dynamic range; reverse tone mapping; image analysis
Abstract

We present an image analysis approach for reverse tone mapping of high dynamic range (HDR) content. The goal is to expand the dynamic range of existing low dynamic range content, to be properly shown on modern HDR displays. Most of the existing reverse tone mapping operators fail to offer a good solution in cases where the input images contain large saturated areas. In this paper we present an interactive, higher-level approach to reverse tone mapping. Inspired by the Zone System used in photography, it can also be used as an artistic tool where both the tonal balance and the mood of the final depiction can be adjusted by the user. Potential applications apart from visualization include algorithms for image or scene analysis.

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 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
10.2991/icaita-16.2016.58
ISSN
1951-6851
DOI
10.2991/icaita-16.2016.58How 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  - Belen Masia
AU  - Diego Gutierrez
PY  - 2016/01
DA  - 2016/01
TI  - Content-Aware Reverse Tone Mapping
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 235
EP  - 238
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.58
DO  - 10.2991/icaita-16.2016.58
ID  - Masia2016/01
ER  -