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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.7 P.1178-1186

http://doi.org/10.1631/jzus.2006.A1178


Denoising of Chinese calligraphy tablet images based on run-length statistics and structure characteristic of character strokes


Author(s):  ZHANG Jun-song, YU Jin-hui, MAO Guo-hong, YE Xiu-zi

Affiliation(s):  State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   jszhang@cad.zju.edu.cn

Key Words:  Denoising, Tablet images, Structure characteristics, Character strokes


ZHANG Jun-song, YU Jin-hui, MAO Guo-hong, YE Xiu-zi. Denoising of Chinese calligraphy tablet images based on run-length statistics and structure characteristic of character strokes[J]. Journal of Zhejiang University Science A, 2006, 7(7): 1178-1186.

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author="ZHANG Jun-song, YU Jin-hui, MAO Guo-hong, YE Xiu-zi",
journal="Journal of Zhejiang University Science A",
volume="7",
number="7",
pages="1178-1186",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1178"
}

%0 Journal Article
%T Denoising of Chinese calligraphy tablet images based on run-length statistics and structure characteristic of character strokes
%A ZHANG Jun-song
%A YU Jin-hui
%A MAO Guo-hong
%A YE Xiu-zi
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 7
%P 1178-1186
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1178

TY - JOUR
T1 - Denoising of Chinese calligraphy tablet images based on run-length statistics and structure characteristic of character strokes
A1 - ZHANG Jun-song
A1 - YU Jin-hui
A1 - MAO Guo-hong
A1 - YE Xiu-zi
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 7
SP - 1178
EP - 1186
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A1178


Abstract: 
In this paper, a novel approach is proposed for denoising of Chinese calligraphy tablet documents. The method includes two phases: First, a partial differential equations (PDE) based the total variation model and Otsu thresholding method are used to preprocess the calligraphy document image. Second, a new method based on run-length statistics and structure characteristics of Chinese characters is proposed to remove some random and ant-like noises. This includes the optimal threshold selection from histogram of run-length probability density, and improved Hough transform algorithm for line shape noise detection and removal. Examples are given in the paper to demonstrate the proposed method.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Chan, T.F., Esedoglu, S., Nikolova, M., 2004. Algorithms for Finding Global Minimizes of Image Segmentation and Denoising Models. UCLA CAM Report 04-54.

[2] Chu, N.S.H., Tai, C.L., 2005. MoXi: Real-time Ink Dispersion in Absorbent Paper. ACM Trans. on Graphics (SIGGRAPH’05), 24(3):504-511.

[3] Fan, K.C., Wu, W.H., 2000. A Run-length Coding Based Approach to Stroke Extraction of Chinese Characters. 15th International Conference on Pattern Recognition (ICPR’00), 2:565-568.

[4] Girshick, R.B., 2004. Simulating Chinese Brush Painting: The Parametric Hairy Brush. Proc. of SIGGRAPH’04.

[5] Gonzalez, R.C., Woods, R.E., 2003. Digital Image Processing, 2nd Edition. Publishing House of Electronics Industry, Beijing.

[6] Guo, Q., Kunii, T., 1991. Modelling the diffuse painting of “Sumi-e”. Modelling in Computer Graphics. Springer-Verlag, Tokyo, p.329-338.

[7] Lee, J., 1999. Simulating oriental black-ink painting. IEEE Computer Graphics and Applications, 19(3):74-81.

[8] Lee, J., 2001. Diffusion rendering of black ink paintings using new paper and ink models. Computers & Graphics, 25(2):295-308.

[9] Mi, X.F., Xu, J., Tang, M., Dong, J.X., 2002. The Droplet Virtual Brush for Chinese Calligraphic Character Modelling. Sixth IEEE Workshop on Applications of Computer Vision. Orlando, Florida, p.330-338.

[10] Otsu, N., 1979. A threshold selection method from gray level histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1):62-66.

[11] Rudin, L.I., Osher, S., Fatemi, E., 1992. Nonlinear total variation based noises removal algorithms. Physica D Nonlinear Phenomena, 60(1-4):259-268.

[12] Sam, T.S., Wong, H.L., Ip, H.H.S., 2005. Model-based Analysis of Chinese Calligraphy Images. 9th International Conference on Information Visualization. London, England, p.221-226.

[13] Strassmann, S., 1986. Hairy brushes. Computer Graphics (SIGGRAPH’86), 20(4):225-232.

[14] Wang, S.Z., Lee, H.J., 2001. Dual-Binarization and Anisotropic Diffusion of Chinese Characters in Calligraphy Documents. Proceedings of the Sixth International Conference on Document Analysis and Recognition, p.271-275.

[15] Way, D.L., Huang, S.W., Shih, Z.C., 2003. Physical-based Model of Ink Diffusion in Chinese Ink Paintings. WSCG, 2003.

[16] Wong, H., Ip, H., 2000. Virtual brush: a model-based synthesis of Chinese calligraphy. Computer & Graphics, 24(1):99-113.

[17] Xu, S.H., Tang, M., Lau, F., Pan, Y.H., 2002. A solid model based virtual hairy brush. Computer Graphics Forum, 21(3):299-308.

[18] Xu, S.H., Lau, F.C.M., Cheung, W.K., Pan, Y.H., 2005. Automatic generation of artistic Chinese calligraphy. IEEE Intelligent Systems, 20(3):32-39.

[19] Ye, X.Y., Cheriet, M., Suen, C.Y., 2001. Stroke-model-based character extraction from gray-level document images. IEEE Trans. Image Processing, 10(8):1152-1161.

[20] Yu, J.H., Peng, Q.S., 2005. Realistic synthesis of Cao shu of Chinese calligraphy. Computers & Graphics, 29(1):145-153.

[21] Zhang, S.Z., 2003. Statistic Characteristics of Strokes of Chinese Characters. Http://www.chancezoo.net/hz/hzbhtjtx.htm.

[22] Zhuang, Y.T., Zhang, X.F., Wu, J.Q., Lu, X.Q., 2004. Retrieval of Chinese calligraphic character image. PCM, (1):17-24.

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