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SMPTE Motion Imaging Journal ( Volume: 128, Issue: 3, April 2019)
[ACTIVE]

Predicting HDR Cinema Requirements from HDR Home Master Statistics

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Journal Article
Content Type
Original Research
Abbreviated Title
SMPTE Mot. Imag. J
Volume
128, No. 3, pp. 1–12
Abstract
The high-dynamic-range (HDR) home video format launched several years ago has been adopted by the industry such that HDR Home Masters are created for most new release titles and released for home video distribution using ultrahigh-definition Blu-ray and digital formats. Mastering titles in HDR Cinema is the next logical evolution toward higher quality content and is thus greatly anticipated. However, mastering for HDR Cinema is still experimental due to the wide variety of potential HDR Cinema display technologies and their unique dynamic range characteristics. Determining the required dynamic range for HDR Cinema Masters is thus of great interest. In this paper, we propose an estimation of two properties of the dynamic range required for HDR Cinema Masters based on two different data sets. The first data set corresponds to the dynamic range statistics and cumulative distribution function of 41 Warner Bros. HDR Home Masters. Analyzing this data set indicates that the maximum light level of a frame (the peak luminance value) is directly related Average Light Level (FALL). In other words, there is a maximum contrast between the intensity of the highlights in an image and the average intensity of the image. The second data set is composed of matching mastered grades for standard dynamic range (SDR) cinema (Digital Cinema Initiative), Enhanced Dynamic Range Cinema (Dolby Cinema theatrical release), and HDR Home formats. Paired matching of content is useful to derive a translation between grades. By performing a cross-analysis between SDR and Enhanced Dynamic Range (EDR) Cinema content, we estimate a trend on the evolution of the FALL statistic when a higher dynamic range is provided. A second cross-analysis between HDR Home and EDR Cinema characterize the translation of midtones between small screens with surround illumination to big screens in a dark-viewing environment. Using the different analysis, we predict two optimized properties of the dynamic range needed to represent most future HDR Cinema mastered content.
Publication Date
2019-04-01
DOI
10.5594/JMI.2019.2895703
ISSN
Print: 1545-0279 | Electronic: 2160-2492
Link
https://doi.org/10.5594/JMI.2019.2895703
Author(s)
Ronan Boitard
Michael Smith
Michael Zink
Gerwin Damberg
Anders Ballestad
Keyword(s)
DCinema, HDR, Mastering
Copyright
© 2019 SMPTE

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Ronan Boitard, Michael Smith, Michael Zink, Gerwin Damberg, and Anders Ballestad; Predicting HDR Cinema Requirements from HDR Home Master Statistics, SMPTE Motion Imaging Journal ( Volume: 128, Issue: 3, April 2019); SMPTE, 2019. Available at https://doi.org/10.5594/JMI.2019.2895703
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Ronan Boitard, Michael Smith, Michael Zink, Gerwin Damberg, and Anders Ballestad; Predicting HDR Cinema Requirements from HDR Home Master Statistics, SMPTE Motion Imaging Journal ( Volume: 128, Issue: 3, April 2019); SMPTE, 2019. Available at https://doi.org/10.5594/JMI.2019.2895703

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Ronan Boitard, Michael Smith, Michael Zink, Gerwin Damberg, and Anders Ballestad; Predicting HDR Cinema Requirements from HDR Home Master Statistics, SMPTE Motion Imaging Journal ( Volume: 128, Issue: 3, April 2019); SMPTE, 2019. Available at https://doi.org/10.5594/JMI.2019.2895703
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<span class="citation">Ronan Boitard, Michael Smith, Michael Zink, Gerwin Damberg, and Anders Ballestad; <cite>Predicting HDR Cinema Requirements from HDR Home Master Statistics</cite>, SMPTE Motion Imaging Journal ( Volume: 128, Issue: 3, April 2019); SMPTE, 2019. Available at <a href="https://doi.org/10.5594/JMI.2019.2895703" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2019.2895703</a></span>

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Ronan Boitard, Michael Smith, Michael Zink, Gerwin Damberg, and Anders Ballestad; Predicting HDR Cinema Requirements from HDR Home Master Statistics, SMPTE Motion Imaging Journal ( Volume: 128, Issue: 3, April 2019); SMPTE, 2019
doi: 10.5594/JMI.2019.2895703
url: https://doi.org/10.5594/JMI.2019.2895703
Snippet:
<li>
Ronan Boitard, Michael Smith, Michael Zink, Gerwin Damberg, and Anders Ballestad; <cite id="bib-10-5594-jmi-2019-2895703">Predicting HDR Cinema Requirements from HDR Home Master Statistics</cite>, SMPTE Motion Imaging Journal ( Volume: 128, Issue: 3, April 2019); SMPTE, 2019
<span class="doi">10.5594/JMI.2019.2895703</span>
</li>