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I-CHENG CHANG1,+, YU-MING PENG1, YUNG-SHENG CHEN2 AND SHEN-CHI WANG1
1Department of Computer Science and Information Engineering
National Dong Hwa University
Hualien, 974 Taiwan
E-mail: icchang@mail.ndhu.edu.tw
2Department of Electrical Engineering
Yuan Ze University
Chungli, 320 Taiwan
Painting style transformation aims to produce a painting in a particular artist¡¦s style
from a picture or other paintings. In the previous implementations of example-based
painting style transfer, users had to manually select the patches from example patches. It
is time-consuming and subjective for a user to select proper patches from a large number
of patches. This paper developed a patch-based approach for rendering example-based
images without requiring user intervention to find appropriate patches in the synthesis
process. We use mean shift segmentation and texture re-synthesis to construct an artistic
database which enables users to synthesize images according to a selected painting style.
Moreover, seven important painting features are proposed for finding an adequate correspondence
between the source image and the database. The synthesized output images
are generated by patch-based sampling method after the correspondence has been determined.
Experimental results show the feasibility of the proposed approach by demonstrating
the synthesis results from different types of source images with the painting style
of Vincent van Gogh.
Received April 25, 2008; revised February 24 & June 9, 2009; accepted June 30, 2009.
Communicated by Tong-Yee Lee.
* This work was supported by the Ministry of Economic Affairs under Grant No. 97-EC-17-A-02-S1-032 and
National Science Council under Grant No. NSC-98-2221-E-259-026, Taiwan, R.O.C.
+ Corresponding author.