Image stylization by interactive oil paint filtering
- 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. (C) 2015 Elsevier Ltd. All rights reserved.
Author details: | Amir Semmo, Daniel LimbergerORCiDGND, Jan Eric Kyprianidis, Jürgen Roland Friedrich DöllnerORCiDGND |
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DOI: | https://doi.org/10.1016/j.cag.2015.12.001 |
ISSN: | 0097-8493 |
ISSN: | 1873-7684 |
Title of parent work (English): | Ricerche di Storia Politica |
Publisher: | Elsevier |
Place of publishing: | Oxford |
Publication type: | Article |
Language: | English |
Year of first publication: | 2016 |
Publication year: | 2016 |
Release date: | 2020/03/22 |
Tag: | Artistic rendering; Colorization; Image flow; Interactive painting; Oil paint filtering |
Volume: | 55 |
Number of pages: | 15 |
First page: | 157 |
Last Page: | 171 |