Mixed Illumination Analysis in Single Image for Interactive Color Grading

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dc.contributor.authorDuchêne, Sylvainen_US
dc.contributor.authorAliaga, Carlosen_US
dc.contributor.authorPouli, Taniaen_US
dc.contributor.authorPérez, Patricken_US
dc.contributor.editorHolger Winnemoeller and Lyn Bartramen_US
dc.date.accessioned2017-10-18T08:42:46Z
dc.date.available2017-10-18T08:42:46Z
dc.date.issued2017
dc.description.abstractColorists often use keying or rotoscoping tools to access and edit particular colors or parts of the scene. Although necessary, this is a time-consuming and potentially imprecise process, as it is not possible to fully separate the influence of light sources in the scene from the colors of objects and actors within it. To simplify this process, we present a new solution for automatically estimating the color and influence of multiple illuminants, based on image variation analysis. Using this information, we present a new color grading tool for simply and interactively editing the colors of de- tected illuminants, which fits naturally in color grading workflows. We demonstrate the use of our solution in several scenes, evaluating the quality of our results by means of a psychophysical study.en_US
dc.description.sectionheadersImage BCC (benchmarking, coloring, and clustering)
dc.description.seriesinformationNon-Photorealistic Animation and Rendering
dc.identifier.doi10.1145/3092919.3092927
dc.identifier.isbn978-1-4503-5081-5
dc.identifier.issn-
dc.identifier.urihttps://doi.org/10.1145/3092919.3092927
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/npar2017a10
dc.publisherAssociation for Computing Machinery, Inc (ACM)en_US
dc.subjectComputing methodologies
dc.subjectImage manipulation
dc.subjectComputational photography
dc.subjectMixed Illumination
dc.subjectColor Grading
dc.subjectIlluminant detection
dc.titleMixed Illumination Analysis in Single Image for Interactive Color Gradingen_US
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