Generalized Diffusion Curves: An Improved Vector Representation for Smooth-Shaded Images

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dc.contributor.authorJeschke, Stefanen_US
dc.contributor.editorJoaquim Jorge and Ming Linen_US
dc.date.accessioned2016-04-26T08:37:14Z
dc.date.available2016-04-26T08:37:14Z
dc.date.issued2016en_US
dc.description.abstractThis paper generalizes the well-known Diffusion Curves Images (DCI), which are composed of a set of Bezier curves with colors specified on either side. These colors are diffused as Laplace functions over the image domain, which results in smooth color gradients interrupted by the Bezier curves. Our new formulation allows for more color control away from the boundary, providing a similar expressive power as recent Bilaplace image models without introducing associated issues and computational costs. The new model is based on a special Laplace function blending and a new edge blur formulation. We demonstrate that given some user-defined boundary curves over an input raster image, fitting colors and edge blur from the image to the new model and subsequent editing and animation is equally convenient as with DCIs. Numerous examples and comparisons to DCIs are presented.en_US
dc.description.number2en_US
dc.description.sectionheadersImage Editing & Processingen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12812en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages071-079en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12812en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleGeneralized Diffusion Curves: An Improved Vector Representation for Smooth-Shaded Imagesen_US
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