GPU-Based Real-Time 4K RAW Workflows

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Publisher: SMPTE — White Plains, NY
Doc Type: Conference Paper
Content Type: Original Research
Volume: 2012, No. 10, pp. 1–13
Abstract: Advances in digital imaging technology are fundamentally changing the cinema workflow and the tools artists and engineers traditionally use. Relatively inexpensive 4K resolution digital motion picture cameras capable of capturing and storing RAW sensor data with a wide dynamic range, high color gamut, and high bit depths all at frame rates that have traditionally been the domain of broadcast video are now available. Implementing a RAW workflow that provides real-time interactivity and a production path where all artistic choices are non-destructive requires a great deal of compute as every image displayed needs conversion from RAW sensor data to display oriented imagery and colorimetry. This highly parallel operation is well suited to the capabilities of modern graphics processing units (GPUs). This paper will present best practices for optimal GPU compute core and memory usage as well as efficient data transfer schemes for sensor data processing and display.
Publication Date: 2012-10-01
DOI: 10.5594/M001433
Link: https://doi.org/10.5594/M001433
Author(s): Thomas TrueNVIDIA Corporation
Andrew PageNVIDIA Corporation
Copyright: © 2012 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

Alt A. , “Mixing Graphics and Compute with Multiple GPUs” , in OpenGL Insights, CRC Press , 2012 , pp 133 – 142 . EXTERNAL
Stam J. Fung J. , “Image De-Mosaicing,” in GPU Computing Gems Emerald Edition, Morgan Kaufmann: Burlington, M.A., 2011 . EXTERNAL
Venkataraman S. “Fermi Asynchronous Texture Transfers” . In OpenGL Insights , CRC Press , 2012 , pp. 415 – 430 . EXTERNAL

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<span class="citation">Thomas True and Andrew Page; <cite>GPU-Based Real-Time 4K RAW Workflows</cite>, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at <a href="https://doi.org/10.5594/M001433" target="_blank" rel="noopener">https://doi.org/10.5594/M001433</a></span>

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Thomas True and Andrew Page; GPU-Based Real-Time 4K RAW Workflows, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012
doi: 10.5594/M001433
url: https://doi.org/10.5594/M001433

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Thomas True and Andrew Page; <cite id="bib-10-5594-m001433">GPU-Based Real-Time 4K RAW Workflows</cite>, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012
<span class="doi">10.5594/M001433</span>
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