SMPTE Meetings and Conferences ( October 2023)
[ACTIVE]
Ambient Light Compensation Through Adaptive Visual Modeling
Metadata
- Publisher
- SMPTE — White Plains, NY, USA
- Doc Type
- Conference Paper
- Content Type
- Original Research
- Volume
- 2023, No. 10, pp. 11–12
- Abstract
- Ambient light can significantly degrade picture quality by reducing visibility of details and contrast. In many cases, it is difficult to control or eliminate ambient light, making it essential to compensate for its effect. This is especially true in the context of media and entertainment, where viewers often consume content in different lighting conditions and environments. Traditional image processing techniques, such as adjusting the backlight, brightness/contrast, or more professionally using a PLUGE signal, do not sufficiently model the human visual system. The result is that detail is lost under changes in ambient light. This is especially problematic for very dark scenes, which has become apparent with cinematic high dynamic range content where numerous consumer complaints have graced headline news. — This paper proposes a method of ambient light compensation by adaptively modeling the contrast sensitivity functions of the human visual system. By estimating global eye adaptation to both the content and the surround environment, the contrast sensitivity models may be used to maintain perceptual detail and contrast under varying ambient illumination. We build upon existing models of human vision and show how we can use cone sensitivity to maintain global contrast. Since displays have limited dynamic range, we show how this can be adaptive to both the content and environment.
- Publication Date
- 2023-10-16
- DOI
10.5594/M002028- ISBN
- Print:
978-1-61482-964-5 - Link
- https://doi.org/10.5594/M002028
- Author(s)
- Jaclyn PytlarzSenior Staff Researcher, Dolby Laboratories Inc.
- Keyword(s)
- Ambient, Light, Contrast, Perception, Media
- Copyright
- © 2023 Society of Motion Picture and Television Engineers, Inc.
Bibliographic Reference(s)
- Y. Kim, “An automatic image enhancement method adaptive to the surround luminance variation for small sized mobile transmissive LCD,” IEEE Trans. Consum. Elect. Vol. 56, No. 3, August 2010. EXTERNAL
- X. Su, C. Jung, S. Wang, Y. Du, “Adaptive enhancement of luminance and details in images under ambient light,” IEEE ICASP, March 2016. EXTERNAL
- S. Daly, A. Golestaneh,” Use of a local cone model to predict essential CSF light adaptation behavior used in the design of luminance quantization nonlinearities,” SPIE-IS&T, Vol. 9394, 2015. EXTERNAL
- R. Larsen, “Next version of Filmmaker Mode will use ambient sensors in TVs,” FlatpanelsHD. https://www.flatpanelshd.com/news.php?subaction=showfull&id=1642133741 EXTERNAL
- J. Rogers, W. Carel, “Development of design criteria for sensor displays,” Report HAC Ref. No. C6619, Hughes Airport Company, Culver City CA, 1973. EXTERNAL
- P. Barten, “Formula for the contrast sensitivity of the human eye,” SPIE-IS&T Electronic Imaging, SPIE Vol. 5294. 2004. EXTERNAL
- S. Thompson, “Results from the Ambient Lighting Survey,” BBC Research and Development. https://www.bbc.co.uk/rd/blog/2020-12-results-from-the-ambient-lighting-survey EXTERNAL
- Q. Song, P. Cosman, “Luminance Enhancement and Detail Preservation, of Images and Videos Adapted to Ambient Illumination,” IEEE Trans. Image Proc. Vol. 27, NO. 10, October 2018. EXTERNAL
- R-REC-BT.814-4 — ITU-R BT.814-4:2018, “Specifications of PLUGE test signals and alignment procedures for setting of brightness and contrast of displays.” EXTERNAL
- ITU-R BT.2100-2 [Active]
- SMPTE ST 2084:2014 [Active, Stabilized]
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Jaclyn Pytlarz; Ambient Light Compensation Through Adaptive Visual Modeling, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002028
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Jaclyn Pytlarz; Ambient Light Compensation Through Adaptive Visual Modeling, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002028
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Jaclyn Pytlarz; Ambient Light Compensation Through Adaptive Visual Modeling, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002028
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<span class="citation">Jaclyn Pytlarz; <cite>Ambient Light Compensation Through Adaptive Visual Modeling</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at <a href="https://doi.org/10.5594/M002028" target="_blank" rel="noopener">https://doi.org/10.5594/M002028</a></span>
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Jaclyn Pytlarz; Ambient Light Compensation Through Adaptive Visual Modeling, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5
doi: 10.5594/M002028
url: https://doi.org/10.5594/M002028
doi: 10.5594/M002028
url: https://doi.org/10.5594/M002028
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<li> Jaclyn Pytlarz; <cite id="bib-10-5594-m002028">Ambient Light Compensation Through Adaptive Visual Modeling</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5 <span class="doi">10.5594/M002028</span> </li>