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Improved deep image compositing using subpixel masks

Published:08 August 2015Publication History

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.pdfGoogle ScholarGoogle Scholar
  2. Kainz, F. 2013. Interpreting OpenEXR Deep Pixels http://www.openexr.com/InterpretingDeepPixels.pdfGoogle ScholarGoogle Scholar
  3. Porter, T., Duff, T. 1984. Compositing Digital Images http://graphics.pixar.com/library/Compositing/paper.pdfGoogle ScholarGoogle Scholar

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  1. Improved deep image compositing using subpixel masks

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        cover image ACM Conferences
        DigiPro '15: Proceedings of the 2015 Symposium on Digital Production
        August 2015
        53 pages
        ISBN:9781450337182
        DOI:10.1145/2791261

        Copyright © 2015 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 8 August 2015

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