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dc.contributor.authorWang, Yilien_US
dc.contributor.authorLiu, Yifanen_US
dc.contributor.authorXu, Kunen_US
dc.contributor.editorLee, Jehee and Theobalt, Christian and Wetzstein, Gordonen_US
dc.description.abstractPalette-based image decomposition has attracted increasing attention in recent years. A specific class of approaches have been proposed basing on the RGB-space geometry, which manage to construct convex hulls whose vertices act as palette colors. However, such palettes do not guarantee to have the representative colors which actually appear in the image, thus making it less intuitive and less predictable when editing palette colors to perform recoloring. Hence, we proposed an improved geometric approach to address this issue. We use a polyhedron, but not necessarily a convex hull, in the RGB space to represent the color palette. We then formulate the task of palette extraction as an optimization problem which could be solved in a few seconds. Our palette has a higher degree of representativeness and maintains a relatively similar level of accuracy compared with previous methods. For layer decomposition, we compute layer opacities via simple mean value coordinates, which could achieve instant feedbacks without precomputations. We have demonstrated our method for image recoloring on a variety of examples. In comparison with state-of-the-art works, our approach is generally more intuitive and efficient with fewer artifacts.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectImage processing
dc.titleAn Improved Geometric Approach for Palette-based Image Decomposition and Recoloringen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersColor and Image

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  • 38-Issue 7
    Pacific Graphics 2019 - Symposium Proceedings

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