Skip to main content

A Generation Method of Chinese Meticulous Painting Based on Image

  • Conference paper
  • First Online:
Transactions on Edutainment XI

Part of the book series: Lecture Notes in Computer Science ((TEDUTAIN,volume 8971))

  • 998 Accesses

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

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. 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)

    Google Scholar 

  2. 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)

    Google Scholar 

  3. 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)

    Google Scholar 

  4. 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)

    Google Scholar 

  5. Lee, J.: Simulating oriental black-ink painting. IEEE Comput. Graph. Appl. 19(3), 74–81 (1999)

    Article  Google Scholar 

  6. 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)

    Google Scholar 

  7. 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)

    Article  Google Scholar 

  8. 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)

    Google Scholar 

  9. Huang, H., Fu, T.N., Li, C.F.: Painterly rendering with content-dependent natural paint strokes. Vis. Comput. 27(9), 861–871 (2011)

    Article  Google Scholar 

  10. Sousa, M.C., Buchanan, J.W.: Observational models of graphite pencil materials. Comput. Graph. Forum 27–49 (2000)

    Google Scholar 

  11. 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)

    Google Scholar 

  12. 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)

    Google Scholar 

  13. 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)

    Article  Google Scholar 

  14. 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)

    Google Scholar 

  15. 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)

    Google Scholar 

  16. Zhang, H.X.: Appreciation of Chinese Meticulous Painting and FreeSketch Painting. Master of Arts thesis, Shaanxi Peoples Fine Arts Press, Xi’an (2010)

    Google Scholar 

  17. Strassmann, S.: Hairy brushes. Comput. Graph. 20(4), 225–231 (1986)

    Article  Google Scholar 

  18. Lee, J.: Diffusion rendering of black ink paintings using new paper and ink models. Comput. Graph. 25, 295–308 (2001)

    Article  Google Scholar 

  19. Yeh, J.W., Ouhyoung, M.: Non-photorealistic rendering in Chinese painting of animals. J. Syst. Simul. 1220–1224 (2002)

    Google Scholar 

  20. 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)

    Google Scholar 

  21. 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)

    Article  MathSciNet  Google Scholar 

  22. 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)

    Google Scholar 

  23. Yang, L.J., Xu, T.C.: Animating Chinese ink painting through generating reproducible brush strokes. Sci. China Inf. Sci. 56(1), 1–13 (2013)

    Article  Google Scholar 

  24. Zang, Y., Huang, H., Li, C.F.: Artistic preprocessing for painterly rendering and image stylization. Vis. Comput. 30(9), 969–979 (2014)

    Article  Google Scholar 

Download references

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

Authors

Corresponding author

Correspondence to Yinghui Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints 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)

Publish with us

Policies and ethics