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Green Image
Issue No. 04 - July-Aug. (2016 vol. 36)
ISSN: 0272-1716
pp: 78-90
Elena Sikudova , Comenius University Bratislava
Tania Pouli , Technicolor Research & Innovation
Alessandro Artusi , University of Girona
Ahmet Oguz Akyuz , Middle East Technical University
Zeynep Miray Mazlumoglu , Middle East Technical University
Erik Reinhard , Technicolor Research & Innovation
ABSTRACT
Few tone mapping operators (TMOs) take color management into consideration, limiting compression to luminance values only. This could lead to changes in image chroma and hues, which are typically managed with a post-processing step. However, current post-processing techniques for tone reproduction do not explicitly consider the target display gamut. Gamut mapping, on the other hand, deals with mapping images from one color gamut to another, usually smaller, gamut but has traditionally focused on smaller scale, chromatic changes. The authors present a combined gamut- and tone-management framework for color-accurate reproduction of high dynamic range images that can prevent hue and luminance shifts while taking gamut boundaries into consideration. Their approach is conceptually and computationally simple, parameter-free, and compatible with existing TMOs.
INDEX TERMS
Image color analysis, Image coding, Dynamic range, Heuristic algorithms, Smoothing methods, Visualization,chroma compression, computer graphics, high dynamic range imaging, color correction, gamut mapping
CITATION
Elena Sikudova, Tania Pouli, Alessandro Artusi, Ahmet Oguz Akyuz, Francesco Banterle, Zeynep Miray Mazlumoglu, Erik Reinhard, "A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images", IEEE Computer Graphics and Applications, vol. 36, no. , pp. 78-90, July-Aug. 2016, doi:10.1109/MCG.2015.116
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