Back to Search Start Over

Towards a Perceptually-Motivated Color Space for High Dynamic Range Imaging

Authors :
Tania Pouli
Mekides Assefa Abebe
Mohamed-Chaker Larabi
Technicolor [Cesson Sévigné]
Technicolor
Synthèse et analyse d'images (XLIM-ASALI)
XLIM (XLIM)
Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)
Université de Poitiers
Source :
Color Imaging: Displaying, Processing, Hardcopy, and Applications, Color Imaging XXII: Displaying, Processing, Hardcopy, and Applications, Color Imaging XXII: Displaying, Processing, Hardcopy, and Applications, Jan 2017, Burlingame, CA, United States. pp.48-59, ⟨10.2352/ISSN.2470-1173.2017.18.COLOR-035⟩
Publication Year :
2017
Publisher :
Society for Imaging Science & Technology, 2017.

Abstract

International audience; To reproduce the appearance of real world scenes, a number of color appearance models have been proposed thanks to adapted psycho-visual experiments. Most of them were designed and intended for a limited dynamic range, or address only dynamic range compression applications. However, given the increasing availability of displays with higher luminance and contrast ranges, a detailed analysis of appearance attributes is also necessary for dynamic range expansion scenarios. In this study, we propose a psycho-visual experimental setup, designed by adapting and combining the adjustment and partition scaling methodologies, which we employ for measuring perceptual colorfulness of color patches with different levels of lightness, chroma and hue. The proposed setup reduces the complexity and increases the efficiency relative to previous experimental setups and allows both expert and non-expert participants to be included. From the collected data, a modified color space is obtained and a new saturation model for dynamic range compression and expansion is derived for high dynamic range imaging.

Details

ISSN :
24701173
Volume :
29
Database :
OpenAIRE
Journal :
Electronic Imaging
Accession number :
edsair.doi.dedup.....7f25d2d26629af02dbeabc4c22e30efd
Full Text :
https://doi.org/10.2352/issn.2470-1173.2017.18.color-035