Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
3D Objects Feature Extraction and Its Applications: A Survey Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

A Generation Method of Chinese Meticulous Painting Based on Image

verfasst von : Yinghui Wang, Jing Liu, Wen Hao, Xiaojuan Ning, Zhenghao Shi, Minghua Zhao, Jiulong Zhang

Erschienen in: Transactions on Edutainment XI

Verlag: Springer Berlin Heidelberg

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel An Interactive Construction Method of 3D Objects from Chinese Ink Paintings
Nächstes Kapitel A New Mode of Protection and Inheritance Based on Xinjiang Traditional Folk Arts Pattern
Literatur
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)
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)
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)
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)
5.
Lee, J.: Simulating oriental black-ink painting. IEEE Comput. Graph. Appl. 19(3), 74–81 (1999)CrossRef
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)
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)CrossRef
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)
9.
Huang, H., Fu, T.N., Li, C.F.: Painterly rendering with content-dependent natural paint strokes. Vis. Comput. 27(9), 861–871 (2011)CrossRef
10.
Sousa, M.C., Buchanan, J.W.: Observational models of graphite pencil materials. Comput. Graph. Forum 27–49 (2000)
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)
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)
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)CrossRef
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)
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)
16.
Zhang, H.X.: Appreciation of Chinese Meticulous Painting and FreeSketch Painting. Master of Arts thesis, Shaanxi Peoples Fine Arts Press, Xi’an (2010)
17.
Strassmann, S.: Hairy brushes. Comput. Graph. 20(4), 225–231 (1986)CrossRef
18.
Lee, J.: Diffusion rendering of black ink paintings using new paper and ink models. Comput. Graph. 25, 295–308 (2001)CrossRef
19.
Yeh, J.W., Ouhyoung, M.: Non-photorealistic rendering in Chinese painting of animals. J. Syst. Simul. 1220–1224 (2002)
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)
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)MathSciNetCrossRef
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)
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)CrossRef
24.
Zang, Y., Huang, H., Li, C.F.: Artistic preprocessing for painterly rendering and image stylization. Vis. Comput. 30(9), 969–979 (2014)CrossRef
Metadaten
Titel
A Generation Method of Chinese Meticulous Painting Based on Image
verfasst von
Yinghui Wang
Jing Liu
Wen Hao
Xiaojuan Ning
Zhenghao Shi
Minghua Zhao
Jiulong Zhang
Copyright-Jahr
2015
Verlag
Springer Berlin Heidelberg
Buch
Transactions on Edutainment XI

Print ISBN: 978-3-662-48246-9

Electronic ISBN: 978-3-662-48247-6

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-662-48247-6_17