Issue No. 04 - July-Aug. (2016 vol. 36)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2015.116
Elena Sikudova , Comenius University Bratislava
Tania Pouli , Technicolor Research & Innovation
Alessandro Artusi , University of Girona
Ahmet Oguz Akyuz , Middle East Technical University
Francesco Banterle , ISTI-CNR
Zeynep Miray Mazlumoglu , Middle East Technical University
Erik Reinhard , Technicolor Research & Innovation
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.
Image color analysis, Image coding, Dynamic range, Heuristic algorithms, Smoothing methods, Visualization
E. Sikudova et al., "A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images," in IEEE Computer Graphics and Applications, vol. 36, no. 4, pp. 78-90, 2016.