Using Categorical Observers to Minimize Metameric Failures on Wide Color Gamut Displays

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Publisher: SMPTE — White Plains, NY, USA
Doc Type: Conference Paper
Content Type: Original Research
Volume: 2023, No. 10, pp. 15–17
Abstract: It is common industry practice to calibrate displays using measurement data based on the CIE-1931 2° Standard Observer color-matching function (CMF) to represent the human visual system response. Anecdotal observations, with some experimental evidence, have shown that adjusting two displays with different spectral power distributions to the same CIE-1931 tristimulus values (TSVs) produces a calibration that is not a visual match for some, if not all, human observers. In other words, displays adjusted so that they should produce metameric matches do not do so. — Research shows that this is due to deviations in CMFs between observers that also differ from the CIE-1931 2° Standard Observer; and that populations of observers can be clustered into categories, each of which have largely similar CMFs. It may be that selection of an appropriate alternate set of CMFs for any given color grader, cinematographer, color editor, or others making critical color judgments or adjustments across spectrally dissimilar displays may reduce metameric failures and increase productivity throughout a motion-picture workflow. — This paper presents results from a psychophysical study to determine if there is a “best-match” CMF for a real human observer from Asano and Fairchild's 10 categorical observers that reduces metameric failures between 2 displays that have significantly different spectral power distributions. The results are further analyzed to support a discussion about the practical implementation of categorical observer transforms in a motion-picture workflow.
Publication Date: 2023-10-16
DOI: 10.5594/M002019
ISBN: Print: 978-1-61482-964-5
Link: https://doi.org/10.5594/M002019
Author(s): Catherine MeiningerDirector of Color Science, Portrait Displays, Inc.
Liam LynchColor Scientist, Portrait Displays, Inc.
Allison HazebrouckColor Scientist, Portrait Displays, Inc.
Andy MasiaConsultant, Portrait Displays, Inc.
Tom LianzaVice-President of R&D, Portrait Displays, Inc.
Keyword(s): Metamerism, Observer Metamerism, Color-Matching Functions, Categorical Observers, Color Calibration, Color Management
Copyright: © 2023 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

Physiologically Personalized Color Management for Motion Picture Workflows [Active]
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Y. Asano, M.D. Fairchild, L. Blonde, “Individual Colorimetric Observer Model”, PLoS ONE, 11 (2): Feb. 2016 EXTERNAL
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Catherine Meininger, Liam Lynch, Allison Hazebrouck, Andy Masia, and Tom Lianza; Using Categorical Observers to Minimize Metameric Failures on Wide Color Gamut Displays, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002019

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Catherine Meininger, Liam Lynch, Allison Hazebrouck, Andy Masia, and Tom Lianza; Using Categorical Observers to Minimize Metameric Failures on Wide Color Gamut Displays, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002019

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<span class="citation">Catherine Meininger, Liam Lynch, Allison Hazebrouck, Andy Masia, and Tom Lianza; <cite>Using Categorical Observers to Minimize Metameric Failures on Wide Color Gamut Displays</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at <a href="https://doi.org/10.5594/M002019" target="_blank" rel="noopener">https://doi.org/10.5594/M002019</a></span>

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Catherine Meininger, Liam Lynch, Allison Hazebrouck, Andy Masia, and Tom Lianza; <cite id="bib-10-5594-m002019">Using Categorical Observers to Minimize Metameric Failures on Wide Color Gamut Displays</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5
<span class="doi">10.5594/M002019</span>
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