research-article

Improved deep image compositing using subpixel masks

Authors:

Jonathan Egstad,

Mark Davis,

Dylan LacewellAuthors Info & Claims

DigiPro '15: Proceedings of the 2015 Symposium on Digital Production

Pages 21 - 27

https://doi.org/10.1145/2791261.2791266

Published: 08 August 2015 Publication History

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Abstract

We present an improved method of producing and manipulating deep pixel data which retains important surface information calculated during the execution of the rendering algorithm for later use during compositing, allowing operations normally performed in the renderer to be deferred until compositing. These include pixel-coverage calculation, pixel filtering, hard-surface blending, and matte object handling. Current methodologies for representing and transmitting deep pixel data work well for combining volumetric and hard-surface renders but are not very successful at combining hard-surfaces. By retaining additional surface information a renderer's final integration steps can be reconstructed later in compositing.

References

[1]

Hillman, P. 2013. The Theory of OpenEXR Deep Samples http://www.openexr.com/TheoryDeepPixels.pdf

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[2]

Kainz, F. 2013. Interpreting OpenEXR Deep Pixels http://www.openexr.com/InterpretingDeepPixels.pdf

Google Scholar

[3]

Porter, T., Duff, T. 1984. Compositing Digital Images http://graphics.pixar.com/library/Compositing/paper.pdf

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Cited By

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Kruse J(2021)Artist-Driven Software Development Framework for Visual Effects StudiosResearch Anthology on Recent Trends, Tools, and Implications of Computer Programming10.4018/978-1-7998-3016-0.ch003(48-69)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-3016-0.ch003
Vasilakis AVardis KPapaioannou G(2020)A Survey of Multifragment RenderingComputer Graphics Forum10.1111/cgf.1401939:2(623-642)Online publication date: 13-Jul-2020
https://doi.org/10.1111/cgf.14019
Pieké RZhao YArrizabalaga FBalents BGossett CPhillips CRose R(2018)Recolouring deep imagesProceedings of the 8th Annual Digital Production Symposium10.1145/3233085.3233095(1-3)Online publication date: 11-Aug-2018
https://dl.acm.org/doi/10.1145/3233085.3233095
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Index Terms

Improved deep image compositing using subpixel masks
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering

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Information & Contributors

Information

Published In

DigiPro '15: Proceedings of the 2015 Symposium on Digital Production

August 2015

53 pages

ISBN:9781450337182

DOI:10.1145/2791261

Conference Chairs:
Eric Enderton
NVIDIA
,
Phil Peterson
Techniqueology
,
Editor:
Stephen Spencer
University of Washington
,
Program Chairs:
Larry Gritz
Sony Pictures Imageworks
,
Jonathan Gibbs
DreamWorks Animation

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 August 2015

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DigiPro '15

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SIGGRAPH

DigiPro '15: The Digital Production Symposium

August 8, 2015

California, Los Angeles

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Cited By

View all

Kruse J(2021)Artist-Driven Software Development Framework for Visual Effects StudiosResearch Anthology on Recent Trends, Tools, and Implications of Computer Programming10.4018/978-1-7998-3016-0.ch003(48-69)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-3016-0.ch003
Vasilakis AVardis KPapaioannou G(2020)A Survey of Multifragment RenderingComputer Graphics Forum10.1111/cgf.1401939:2(623-642)Online publication date: 13-Jul-2020
https://doi.org/10.1111/cgf.14019
Pieké RZhao YArrizabalaga FBalents BGossett CPhillips CRose R(2018)Recolouring deep imagesProceedings of the 8th Annual Digital Production Symposium10.1145/3233085.3233095(1-3)Online publication date: 11-Aug-2018
https://dl.acm.org/doi/10.1145/3233085.3233095
Hillman PBalents BGossett CPhillips CRose R(2018)A scheme for storing object ID manifests in openEXR imagesProceedings of the 8th Annual Digital Production Symposium10.1145/3233085.3233086(1-8)Online publication date: 11-Aug-2018
https://dl.acm.org/doi/10.1145/3233085.3233086
Vicini DAdler DNovák JRousselle FBurley B(2018)Denoising Deep Monte Carlo RenderingsComputer Graphics Forum10.1111/cgf.1353338:1(316-327)Online publication date: 27-Aug-2018
https://doi.org/10.1111/cgf.13533
Archer JLeach Gvan Schyndel R(2018)GPU based techniques for deep image mergingComputational Visual Media10.1007/s41095-018-0118-84:3(277-285)Online publication date: 4-Aug-2018
https://doi.org/10.1007/s41095-018-0118-8
Archer JLeach Gvan Schyndel RGutierrez DHuang H(2017)GPU based techniques for deep image mergingSIGGRAPH Asia 2017 Technical Briefs10.1145/3145749.3149448(1-4)Online publication date: 27-Nov-2017
https://dl.acm.org/doi/10.1145/3145749.3149448
Duff T(2017)Deep Compositing Using Lie AlgebrasACM Transactions on Graphics10.1145/3072959.302338636:4(1)Online publication date: 16-Jul-2017
https://dl.acm.org/doi/10.1145/3072959.3023386
Duff T(2017)Deep Compositing Using Lie AlgebrasACM Transactions on Graphics10.1145/302338636:3(1-12)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1145/3023386
Kruse J(2016)Artist-Driven Software Development Framework for Visual Effects StudiosCreative Technologies for Multidisciplinary Applications10.4018/978-1-5225-0016-2.ch012(286-308)Online publication date: 2016
https://doi.org/10.4018/978-1-5225-0016-2.ch012

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