Image Abstraction by Structure Adaptive Filtering

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dc.contributor.authorKyprianidis, Jan Ericen_US
dc.contributor.authorDöllner, Jürgenen_US
dc.contributor.editorIk Soo Lim and Wen Tangen_US
dc.date.accessioned2014-01-31T20:02:20Z
dc.date.available2014-01-31T20:02:20Z
dc.date.issued2008en_US
dc.description.abstractIn this work we present a framework of automatic non-photorealistic image processing techniques that create simplified stylistic illustrations from color images, videos and 3D renderings. To smooth low-contrast regions while preserving edges, we present a new fast separated implementation of the bilateral filter. Our approach works by filtering in direction of the gradient and then filtering the intermediate result in perpendicular direction. When applied iteratively, our approach does not suffer from horizontal or vertical artifacts and creates smooth output at curved boundaries. To extract salient important edges we first apply a one-dimensional difference-of-Gaussians filter in direction of the gradient and then apply smoothing along a flow field which we derive from the smoothed structure tensor. Our method creates smooth coherent output for line and curve segments.en_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-67-8en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG08/051-058en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Line and Curve Generation I.3.3 [Computer Graphics]: Display algorithmsen_US
dc.titleImage Abstraction by Structure Adaptive Filteringen_US
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