Image Abstraction by Structure Adaptive Filtering

Photorealistic visualizations used in 3D applications designed for typical desktops usually show high visual information density. In [Kyprianidis and Döllner 2008] we present non-photorealistic image processing techniques to distill the perceptually important information and optimize the content for the limited screen space of small displays. Our method extends the approach of [Winnemöller et al. 2006] to use iterated bilateral filtering for abstraction and difference-of-Gaussians (DoG) for edge extraction by adapting it to the local orientation of the input.