Novel method for computer create Van Gogh's oil style painting

Authors:
Liang Xiao;Zhihui Wei;Huizhong Wu
Affiliations:
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China;School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China;School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China
Venue:
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
Year:
2007

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Abstract

This paper addresses the problem of how to transform a photograph into Van Gogh's oil style painting. A novel line-integral convolution (LIC) based oil painting simulation framework is proposed. Several new technologies are proposed to improve the performance and artistic expressive power of our method. Firstly a new method named by streamlines filling is presented, and we modeled image as a cluster level lines which have minimal Euler's elastic energy, then we derived an evolution partial difference equation (PDE)to fill streamlines in image. Secondly we proposed a new method named by streamlines enhancing, a coherence-enhancing anisotropic diffusion is use to enhance the flow-like and close interrupted lines in the intensity image. Thirdly we propose a surface rendering algorithms combined diffuse and specular reflection with multiple light sources to simulate the oil painting's characteristics. Finally a better color fidelity between result image and the sample image of van Gogh style is achieved by color transfer algorithm. Experiments show that the performance of our proposed method is better than other similar LIC based rendering algorithms.