Prof. Dr. Jürgen Döllner


Image Stylization by Interactive Oil Paint Filtering

Semmo, Amir and Limberger, Daniel and Kyprianidis, Jan Eric and Döllner, Jürgen
Computers & Graphics, vol. 55:157–171 2016

DOI: 10.1016/j.cag.2015.12.001


This paper presents an interactive system for transforming images into an oil paint look. The system comprises two major stages. First, it derives dominant colors from an input image for feature-aware recolorization and quantization to conform with a global color palette. Afterwards, it employs non-linear filtering based on the smoothed structure adapted to the main feature contours of the quantized image to synthesize a paint texture in real-time. Our filtering approach leads to homogeneous outputs in the color domain and enables creative control over the visual output, such as color adjustments and per-pixel parametrizations by means of interactive painting. To this end, our system introduces a generalized brush-based painting interface that operates within parameter spaces to locally adjust the level of abstraction of the filtering effects. Several results demonstrate the various applications of our filtering approach to different genres of photography.

BibTeX file

author = { Semmo, Amir and Limberger, Daniel and Kyprianidis, Jan Eric and D{\"o}llner, J{\"u}rgen },
title = { Image Stylization by Interactive Oil Paint Filtering },
pages = { 157--171 },
year = { 2016 },
journal = { Computers \& Graphics },
volume = { 55 }

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last change: Tue, 29 Mar 2016 15:09:14 +0200