Color Mixture

Every time after simulating the effect of washing, we will start to do the color mixture. We take Subtractive Color Mixture to model the overlapping of color in our system. When our system washes next color, we set the result which already washed is background. Then foreground and background are combined to next result.

Figures 5.7 and 5.8 show some examples of washing and the result of combining with contour sketching.

Composition

initial gradational color initial the same color

the quantity of pigment = 7 the quantity of pigment = 5.5

washing result washing result

final washing result

Figure 5.7 Result of washing and combined image

Composition

initial the same color initial the same color

the quantity of pigment = 4 the quantity of pigment = 4.5

washing result washing result

final washing result

Figure 5.8 Result of washing and combined image

CHAPTER 6 Implementation and Results

In this chapter, the implementation and results are presented. The input sources are reference image and labeling image. The background of reference image is removed beforehand, and the labeling image indicates the place of fins. The algorithm is implemented in C# language with an Intel 1.6GHz CPU and 768MB RAM.

After our system combines results of contour sketching and of washing, we apply a background. Background is generated according to the position of fishes. The pixel near fish body is deep green color, and color change thin gradually as the distance from fish changes far.

Example 1 is a 1200×700 image as shown in Figure 6.1. Figure 6.2 shows the results of contour sketching. Figure 6.3 shows the result of washing. The final result of this example which already applies background is shown in Figure 6.4.

Figure 6.1 The original image of example 1

Figure 6.2 The contour sketching of example 1

Figure 6.3 The washing result of example 1

Figure 6.4 The final result of example 1

Example 2 is a 1000×580 image as shown in Figure 6.5. Figure 6.6 shows the results of contour sketching. Figure 6.7 shows the result of washing. The final result of this example which already applies background is shown in Figure 6.8.

Figure 6.5 The original image of example 2

Figure 6.6 The contour sketching of example 2

Figure 6.7 The washing result of example 2

Figure 6.8 The final result of example 2

Example 3 is an 800×800 image as shown in Figure 6.9. Figure 6.10 shows the results of contour sketching. Figure 6.11 shows the result of washing. The final result of this example which already applies background is shown in Figure 6.12.

Figure 6.9 The original image of example 3

Figure 6.10 The contour sketching of example 3

Figure 6.11 The washing result of example 3

Figure 6.12 The final result of example 3

CHAPTER 7 Conclusion and Future Works

In this thesis, we propose a method to synthesize Lingnan School Painting on Embroidered Fish. We simulate this style by two processes: contour sketching and coloring. In the former process, we design a brush model to simulate Horse Hair Brush. In coloring, we propose a washing model to simulate the effect of dyeing. The whole process is semi-automatic. Users just input several parameters and draw the fish spine. The rest of work is done by the computer. Therefore, users my generate Lingnan style Painting easily by using our proposed system without any painting skill.

However, there are still some issues left to be solved in the future.

1. The extracted region of washing is not fine. The border of fishes is darker than the rest part. Our system decides it as the part of black. So we hope to use better algorithm to find out the region.

2. Our proposed system uses the basic Subtractive Color Mixture method. This

method simulates the traditional Chinese color mixture roughly but not exactly.

Moreover, the other advanced methods focus on the color mixture of Western Painting, such as KM model. We hope to find a suitable or integrate several color mixture methods for traditional Chinese colors.

3. Our system is not entirely automatic, users still need to draw a spine. Although it is not difficult to draw, the produced results could be different. So we hope our system generate spine stroke automatically in the future.

4. Fish belly and scales would be further processed to emphasize three-dimensional effect. And we recommend that contour sketching should be more similar to the style of painters.

Reference

[1] 王禮溥編著，嶺南畫派，藝術圖書公司印行。

[2] 朱子弘著，國畫色彩研究，藝術家出版。

[3] 林湖奎繪著，金魚‧錦鯉，藝術圖書公司印行。

[4] 崔慶忠著，圖解中國繪畫史，揚智文化事業份有限公司出版。

[5] 嶺南畫派, http://www.lingnanart.com/home_ch.htm

[6] 盧清遠繪著，嶺南派畫法（一） 通論‧花卉‧蔬果，藝術圖書公司印行。

[7] 盧清遠繪著，嶺南派畫法（二） 草蟲‧游魚‧鳥雀，藝術圖書公司印行。

[8] Bill Baxter, Vincent Scheib, Ming C. Lin, Dinesh Manocha, “DAB: Interactive Haptic Painting with 3D Virtual Brushes”, Proceedings of ACM SIGGRAPH 01,, pp. 461-468, 2001.

[9] Ching Chan, Ergun Akleman, and Jianer Chen. “Two methods for creating Chinese painting”. IEEE Computer Graphics and Application. 2002.

[10]Cassidy J. Curtis, Sean E. Anderson, Jonathon. E. Seims, and Kurt W. Fleischer, and David H. Salesin, “Computer-generated watercolor”, Proceedings of SIGGRAPH 97, in Computer Graphics Proceedings, Annual Conference Series,

pp. 421-430, August 1997.

[11]Sheng-Wen Huang, Der-Lor Way, Zen-Chung Shih, “Physical-Based Model of Ink Diffusion in Chinese Ink Paintings”, Journal of WSCG 2003.

[12]Yi-Wei Ho, Zen-Chung Shih, “The Synthesis of Chinese Fine-Brushwork Painting for Flower”, Master thesis, National Chiao Tung University. 2005.

[13]O. Kallmes and H. Corte, The structure of paper in, the statistical geometry of an ideal two dimensional fiber network. Tappi Journal 43 9 (1960), pp. 737–752.

[14]Jintae Lee, “Diffusion rendering of black ink paintings using new paper and ink

models”, Computer & Graphics 25 (2001), Page 295~308

[15]Suguru Saito and Masayuki Nakajima. “3D physics-based brush model for painting”. Proceedings of ACM SIGGRAPH 99, page 226. August 8 - 13, 1999.

[16]David L Small, “Simulating Watercolor by Modeling Diffusion, Pigment and Paper Fibers”, SPIE Proceedings, Vol. 1460, No. 15. San Jose, CA, 1990.

[17]Steve Strassmann, “Hairy Brushes”, Proceedings of ACM SIGGRAPH 86, page 225-232. 1986.

[18]C. B. Vreugdenhil, “Numerical Methods for Shallow-Water Flow”, Kluwer Academic Publishers, 1994.

[19]Der-Lor Way, Yu-Ru Lin, Zen-Chung Shih, “The Synthesis of Trees in Chinese Landscape Painting Using Silhouette and Texture Strokes”, Journal of WSCG Volume 10, Number 3, 2002, pp. 449-507

[20]Shan-Zan Wen, Zen-Chung Shih, Hsin-Yi Chiu, “The Synthesis of Chinese Ink Painting”, National Computing Symposium’99, page 461-468, 1999.

[21]Shan-Zan Weng and Zen-Chung Shih. “The synthesis of Chinese ink painting”.

National Computing Symposium.1999.

[22]Helena T.F. Wong and Horace H.S. Ip. “Virtual brush: A model-based synthesis of Chinese calligraphy”. Computers and Graphics, page 99-113. Number, 2000.

[23]Songhua Xu, Francis C.M. Lau, Feng Tang, and Yunhe Pan. “Advanced design for a realistic virtual brush”. EUROGRAPHICS, Volume 22. Number 3, 2003.

[24]Young Jung Yu, Do Hoon Lee, “Interactive Rendering Technique for Realistic Oriental Painting”, Journal of WSCG, Volume11, Number1, 2003.