Real-Time Image Abstraction by Directed Filtering
Jan Eric Kyprianidis Jürgen Döllner
Hasso-Plattner-Institut, Germany
ShaderX7 – Advanced Rendering Techniques. Charles River Media, 2009
Abstract
In this chapter we present a framework of automatic image processing techniques that create high-quality, simplified, stylistic illustrations from color images, videos, and 3D renderings. Our method extends the approach of Winnemöller et al. (2006) to use iterated bilateral filtering for abstraction and difference-of-Gaussians (DoG) for edge detection. We present enhancements to these techniques to improve the quality of the output by adapting them to the local orientation of the input.
Citation
Kyprianidis, J. E. & Döllner, J. (2009). Real-Time Image Abstraction by Directed Filtering. In W. Engel (Ed.), ShaderX7 – Advanced Rendering Techniques. Charles River Media.
@incollection{ kyprianidis-shaderx7,
author = { Kyprianidis, J. E. and D{\"o}llner, J. },
title = { Real-Time Image Abstraction by Directed Filtering },
booktitle = { ShaderX7 - Advanced Rendering Techniques },
publisher = { Charles River Media },
editor = { Engel, W. },
year = {2009}
}
Related
- Kyprianidis, J. E., & Döllner, J. (2008). Image Abstraction by Structure Adaptive Filtering. In Proc. EG UK Theory and Practice of Computer Graphics, pp. 51–58, Eurographics Association.
- Kyprianidis, J. E. & Döllner, J. (2008). Image Abstraction by Structure Adaptive Filtering. Poster at 6th Symposium on Non-Photorealistic Animation and Rendering (NPAR).
