Image and Video Abstraction by Anisotropic Kuwahara Filtering

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dc.contributor.authorKyprianidis, Jan Ericen_US
dc.contributor.authorKang, Henryen_US
dc.contributor.authorDoellner, Juergenen_US
dc.date.accessioned2015-02-23T16:09:11Z
dc.date.available2015-02-23T16:09:11Z
dc.date.issued2009en_US
dc.description.abstractWe present a non-photorealistic rendering technique to transform color images and videos into painterly abstractions. It is based on a generalization of the Kuwahara filter that is adapted to the local shape of features, derived from the smoothed structure tensor. Contrary to conventional edge-preserving filters, our filter generates a painting-like flattening effect along the local feature directions while preserving shape boundaries. As opposed to conventional painting algorithms, it produces temporally coherent video abstraction without extra processing. The GPU implementation of our method processes video in real-time. The results have the clearness of cartoon illustrations but also exhibit directional information as found in oil paintings.en_US
dc.description.number7en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01574.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1955-1963en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01574.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleImage and Video Abstraction by Anisotropic Kuwahara Filteringen_US
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