A Color Volume Mapping System for Perception- Accurate Reproduction of HDR Imagery in SDR Production Workflows

Metadata

Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag. J
Volume: 130, No. 7, pp. 12–21
Abstract: The use of wide color volumes in cameras during image acquisition is common nowadays. However, these color volumes are mostly manufacturer-specific and often get minimized into a standardized color system, such as International Telecommunication Union – Radiocommunication (ITU-R) Recommendation BT.709. The outstanding color-capture characteristics of prevailing image sensors therefore do not get used enough yet. Most image reproduction devices will not be able to display high-dynamic-range/wide-color-gamut (HDR/WCG) content accurately in the near future. This justifies the current development of products that convert HDR/WCG imagery to standard-dynamic-range/standard-color-gamut (SDR/SCG) imagery with the aim of keeping the original look. The often overlooked aspect of color volume transformation as a conversion process is of particular importance. Patented or trademarked colors (e.g. Coca-Cola Red) should cause the same visual impression on all reproduction devices. Visual artifacts, such as hue shifts, banding, or constant color regions instead of differentiated colors, caused by clipped or incorrectly converted colors, could violate this rule. Tone mapping is usually performed to transform HDR to SDR content. The difference in brightness between HDR and SDR is most visible. Rarely, an accurate color volume transformation is performed. A novel HDR/WCG-SDR/SCG transformation algorithm is presented in this paper. It can be used on images after tone mapping, or as a static conversion method between HDR/WCG and SDR/SCG. The aim of the algorithm is to convert colors from a large source color volume into a smaller target color volume so that converted colors stay distinguishable and no clipping is necessary.
Publication Date: 2021-08-01
DOI: 10.5594/JMI.2021.3083560
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/JMI.2021.3083560
Author(s): Pascal Kutschbach
bio
Pascal Kutschbach obtained a bachelor of engineering in media technology in 2018 and a master of engineering in advanced media technology in 2021. His studies address questions concerning image processing in broadcast environments; specifically, he engages in research on colorspace conversions of imagery and the integration of AI algorithms into image processing pipelines. His work encompasses articles on colorspace conversions and contrast perception in the scientific journal FKT, as well as a presentation at the SMPTE on the subjects. He also designed and implemented a method for colorspace conversions between HDR and SDR, which is currently in the process of being patented. Currently, he is a research assistant at the RheinMain University of Applied Sciences, Wiesbaden, Germany, and is working on his PhD degree.
Keyword(s): Color Mapping, Color Space Conversion, Gamut Compression, Gamut Mapping, HDR, Standard Dynamic Range, HDR-SDR Conversion, Wide Color Gamut
Copyright: © 2021 SMPTE

Bibliographic Reference(s)

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SMPTE ST 2084:2014 [Active, Stabilized]

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Pascal Kutschbach; A Color Volume Mapping System for Perception- Accurate Reproduction of HDR Imagery in SDR Production Workflows, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 7, August 2021); SMPTE, 2021. Available at https://doi.org/10.5594/JMI.2021.3083560

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Pascal Kutschbach; A Color Volume Mapping System for Perception- Accurate Reproduction of HDR Imagery in SDR Production Workflows, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 7, August 2021); SMPTE, 2021. Available at https://doi.org/10.5594/JMI.2021.3083560

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<span class="citation">Pascal Kutschbach; <cite>A Color Volume Mapping System for Perception- Accurate Reproduction of HDR Imagery in SDR Production Workflows</cite>, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 7, August 2021); SMPTE, 2021. Available at <a href="https://doi.org/10.5594/JMI.2021.3083560" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2021.3083560</a></span>

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Pascal Kutschbach; A Color Volume Mapping System for Perception- Accurate Reproduction of HDR Imagery in SDR Production Workflows, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 7, August 2021); SMPTE, 2021
doi: 10.5594/JMI.2021.3083560
url: https://doi.org/10.5594/JMI.2021.3083560

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Pascal Kutschbach; <cite id="bib-10-5594-jmi-2021-3083560">A Color Volume Mapping System for Perception- Accurate Reproduction of HDR Imagery in SDR Production Workflows</cite>, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 7, August 2021); SMPTE, 2021
<span class="doi">10.5594/JMI.2021.3083560</span>
</li>