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Authors: Johannes Herwig ; Matthias Sobczyk and Josef Pauli

Affiliation: University of Duisburg-Essen, Germany

Keyword(s): High Dynamic Range Imaging, Tone-reproduction Operators, Noise Reduction, Image Segmentation.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Color and Texture Analyses ; Computational Photography ; Computer Vision, Visualization and Computer Graphics ; Digital Photography ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Image Generation Pipeline: Algorithms and Techniques ; Rendering

Abstract: The problem of tone mapping for HDR (high dynamic range) to LDR (low dynamic range) conversion is introduced by a unified framework considering all the usual processing steps. Then the specific problem of single-shot HDR is outlined where special emphasis is taken on the effect of the greater noise floor of those images when compared to the usual exposure bracketing approach to HDR. We herein tailor the popular tone mapping operators proposed by Reinhard for single-shot HDR. A region-based approach for preprocessing any HDR image in order to increase SNR and perceptual sharpness is introduced as an extension to our initial tone mapping framework. The results are compared with respect to specially developed baseline tone mappers and an extensive subjective evaluation is performed.

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Paper citation in several formats:
Herwig, J.; Sobczyk, M. and Pauli, J. (2014). Tone Mapping for Single-shot HDR Imaging. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 145-152. DOI: 10.5220/0004695401450152

@conference{visapp14,
author={Johannes Herwig. and Matthias Sobczyk. and Josef Pauli.},
title={Tone Mapping for Single-shot HDR Imaging},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={145-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004695401450152},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - Tone Mapping for Single-shot HDR Imaging
SN - 978-989-758-003-1
IS - 2184-4321
AU - Herwig, J.
AU - Sobczyk, M.
AU - Pauli, J.
PY - 2014
SP - 145
EP - 152
DO - 10.5220/0004695401450152
PB - SciTePress