Journal of System Simulation
Abstract
Abstract: An interactive technique that can generate the Dongba art paintings from 2D images is proposed. A Dongba painting line drawing system is designed and developed which adopts the interactive selection method to obtain the smooth and continuous line drawings. To produce the foreground image of the Dongba styles, a multi-frequency noise integral convolution algorithm is utilized to simulate the block texture color of the Dongba paintings. Texture synthesis algorithm is used to generate the image of large sizes from samples to simulate the background image. Based on the layer-mapping technique and local color transmission methods, the final artistic style image of the Dongba paintings is obtained. Experimental results show the effectiveness of the method in simulating the Dongba styles. The proposed method is easy, fast, and can expand the artistic expression of the Dongba paintings.
Recommended Citation
Qian, Wenhua; Dan, Xu; Jin, Xu; Lei, He; and Bo, Zhang
(2020)
"Simulation of Dongba Art Style Painting,"
Journal of System Simulation: Vol. 32:
Iss.
7, Article 16.
DOI: 10.16182/j.issn1004731x.joss.19-VR0530
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss7/16
First Page
1349
Revised Date
2019-10-23
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-VR0530
Last Page
1359
CLC
TP391.41
Recommended Citation
Qian Wenhua, Xu Dan, Xu Jin, He Lei, Zhang Bo. Simulation of Dongba Art Style Painting[J]. Journal of System Simulation, 2020, 32(7): 1349-1359.
DOI
10.16182/j.issn1004731x.joss.19-VR0530
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons