Abstract
Meticulous painting is one of Chinese traditional painting that has more than 2000 years history. We present an automatic technique that generates Chinese meticulous painting from image in this paper. First, we transfer the input image to grayscale, and extract the contours by using the Laplace operator. The contour image is the line-drawing draft of the meticulous painting. Second, we propose a grayscale hierarchical mixed method to produce the first layer ink-dyeing draft. The final ink-dyeing draft is produced by mixing the first layer draft and the second layer, which is created by Gaussian smooth. Then, we transfer the input image to HSV color space, and use the H, S and the grayscale of ink-dyeing draft to get the color draft. Finally, we have the meticulous painting by combining the colorful draft with rice paper texture. Experimental results demonstrate the effectiveness of our method in producing meticulous painting from image.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Curtis, C.J., Anderson, S.E., Seims, J.E., Fleischer, K.W., Salesin, D.H.: Computer generated watercolor. In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, pp. 421–430. ACM Press (1997)
Laerhoven, T.V., Liesenborgs, J., Reeth, F.V.: Real-time watercolor painting on a distributed paper model. In: Proceedings of the Computer Graphics International, pp. 640–643 (2004)
Sun, Y.H., Wang, J.T.: Representation of watercolor based on regions. In: International Conference on Image Analysis and Signal Processing, pp. 496–500 (2011)
Salisbury, M.P., Wong, M.T., Hughes, J.F., Salesin, D.H.: Orientable textures for image-based pen-and-ink illustration. In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, pp. 401–406 (1997)
Lee, J.: Simulating oriental black-ink painting. IEEE Comput. Graph. Appl. 19(3), 74–81 (1999)
Coconu, L., Deussen, O., Hege, H.C.: Real-time pen-and-ink illustration of land-scapes. In: Proceedings of the 4th International Symposium on Non-photorealistic Animation and Rendering, pp. 27–35 (2006)
Zeng, K., Zhou, M.T., Xiong, C.M., Zhu, S.C.: From image parsing to painterly rendering. ACM Trans. Graph. 29(1), 2:1–2:11 (2009)
Zhou, M.T., Zhu, S.C.: Customizing painterly rendering styles using stroke processes. In: Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-photorealistic Animation and Rendering, pp. 137–146 (2011)
Huang, H., Fu, T.N., Li, C.F.: Painterly rendering with content-dependent natural paint strokes. Vis. Comput. 27(9), 861–871 (2011)
Sousa, M.C., Buchanan, J.W.: Observational models of graphite pencil materials. Comput. Graph. Forum 27–49 (2000)
Mao, X.Y., Nagasaka, Y., Imamiya, A.: Automatic generation of pencil drawing using LIC. In: ACM SIGGRAPH 2002 Conference Abstracts and Applications, pp. 149–149 (2002)
Xie, D.E., Zhao, Y., Xu, D., Yang, X.C.: Convolution filter based pencil drawing and its implementation on GPU. In: Proceedings of the 7th International Conference on Advanced Parallel Processing Technologies, pp. 723–732 (2007)
Hata, M., Toyoura, M., Mao, X.Y.: Automatic generation of accentuated pencil drawing with saliency map and LIC. Vis. Comput. 28(6-8), 657–668 (2012)
Song, X.X.: A Study of the Tradition of Fine Brush-Stroke Painting and Its Modern Development. Ph.D. of Arts dissertation, Department of Fine Arts, Central Academy of Fine Arts (2008)
He, X.Y.: A Study of New Elegant Feature of the Contemporary Chinese Meticulous Painting. Master of Arts thesis, Department of Fine Arts, GanNan Normal University (2011)
Zhang, H.X.: Appreciation of Chinese Meticulous Painting and FreeSketch Painting. Master of Arts thesis, Shaanxi Peoples Fine Arts Press, Xi’an (2010)
Strassmann, S.: Hairy brushes. Comput. Graph. 20(4), 225–231 (1986)
Lee, J.: Diffusion rendering of black ink paintings using new paper and ink models. Comput. Graph. 25, 295–308 (2001)
Yeh, J.W., Ouhyoung, M.: Non-photorealistic rendering in Chinese painting of animals. J. Syst. Simul. 1220–1224 (2002)
Way, D.L., Lin, Y.R., Shih, Z.C.: The synthesis of trees in Chinese landscape painting using silhouette and texture strokes. J. WSCG 499–506 (2002)
Li, P., Sun, H.Q., Sheng, B., Shen, J.B.: Image stylization with enhanced structure on GPU. Sci. China Inf. Sci. 55(5), 1093–1105 (2012)
Kunii, T.L., Nosovskij, G.V., Hayashi, T.: A diffusion model for computer animation of diffuse ink painting. In: Computer Animation, pp. 98–102, IEEE CS Press (1995)
Yang, L.J., Xu, T.C.: Animating Chinese ink painting through generating reproducible brush strokes. Sci. China Inf. Sci. 56(1), 1–13 (2013)
Zang, Y., Huang, H., Li, C.F.: Artistic preprocessing for painterly rendering and image stylization. Vis. Comput. 30(9), 969–979 (2014)
Acknowledgements
This work is supported in part by National Natural Science Foundation of China under Grant No. 61072151, 61272284, 61302135; and Xi’an Scientific Research Plan under Grant No. CX1252(3); and Industrial research project of Science and Technology Department of Shaanxi Province under Grant No. 2014K05-49; and the Science and Technology of Education Key Laboratory of Shaanxi Provincial under Grant No. 13JS083.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, Y. et al. (2015). A Generation Method of Chinese Meticulous Painting Based on Image. In: Pan, Z., Cheok, A., Mueller, W., Zhang, M. (eds) Transactions on Edutainment XI. Lecture Notes in Computer Science(), vol 8971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48247-6_17
Download citation
DOI: https://doi.org/10.1007/978-3-662-48247-6_17
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-48246-9
Online ISBN: 978-3-662-48247-6
eBook Packages: Computer ScienceComputer Science (R0)