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Gamut mapping in a high-dynamic-range color space

: Preiss, Jens; Fairchild, Mark D.; Ferwerda, James A.; Urban, Philipp


Eschbach, Reiner (Hrsg.) ; Society for Imaging Science and Technology -IS&T-; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Color imaging XIX: Displaying, processing, hardcopy, and applications. Proceedings : 3 - 5 February 2014, San Francisco, California, United States
Bellingham, WA: SPIE, 2014 (SPIE Proceedings 9015)
ISBN: 978-0-8194-9932-5
Paper 90150A, 7 pp.
Conference "Color Imaging: Processing, Hardcopy, and Applications" <19, 2014, San Francisco/Calif.>
Annual Symposium on Electronic Imaging, Science and Technology <26, 2014, San José/Calif.>
Conference Paper
Fraunhofer IGD ()
high dynamic range; gamut mapping; image quality; color space; Business Field: Virtual engineering; Business Field: Visual decision support; Research Area: Computer graphics (CG); Research Area: Computer vision (CV); Research Area: Modeling (MOD)

In this paper, we present a novel approach of tone mapping as gamut mapping in a high-dynamic-range (HDR) color space. High- and low-dynamic-range (LDR) images as well as device gamut boundaries can simultaneously be represented within such a color space. This enables a unified transformation of the HDR image into the gamut of an output device (in this paper called HDR gamut mapping).
An additional aim of this paper is to investigate the suitability of a specific HDR color space to serve as a working color space for the proposed HDR gamut mapping. For the HDR gamut mapping, we use a recent approach that iteratively minimizes an image-difference metric subject to in-gamut images.
A psychophysical experiment on an HDR display shows that the standard reproduction workflow of two subsequent transformations - tone mapping and then gamut mapping - may be improved by HDR gamut mapping.