1. NCCU Academic Hub
  2. Publications
  3. College of Informatics
  4. Theses
  5. Item

Publications-Theses

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 使用可控制反應擴散之影像風格化技術
Controllable reaction diffusion for image stylization
作者 劉維晉
Liu, Wei Ching
貢獻者 紀明德
Chi, Ming Te
劉維晉
Liu, Wei Ching
關鍵詞 反應擴散
影像風格化
reaction diffusion
image stylization
日期 2014
上傳時間 2016-05-11
摘要 影像風格化是一種改變輸入影像的重要技術，其用來加強圖像的特徵並傳達視覺上的資訊，其中圖案的形狀與分布構成的風格化的基本要素。然而對於初學者而言，設計一個新的風格化圖案以及適當的分佈配置是不容易的。在本文中，提出了一個使用異向性反應擴散的圖像風格化以及圖案生成的方法，並從已知的反應擴散圖案為基礎做延伸，同時保有反應擴散的自我組織圖案的特性。為了能夠有效的控制圖案的生成，利用調整後的異向性擴散用來控制圖案的形狀並結合流場調整圖案的排列。圖案的大小、密度、方向以及風格化樣式可藉由閥值的調整以及顏色映射加以控制。最後本系統用來生成剪紙、風格化半色調影像以及流場的視覺化的結果以突顯本系統之特色。
Image stylization is an essential technique to create the style of input images, enhance image features, and express visual cues. The shape and distribution of the primitive are essential elements in stylization. However, designing a new pattern or creating an appropriate distribution can be challenging for novice users. In this paper, an anisotropic reaction diffusion system for image stylization and pattern generation is proposed. This system starts from modify existed reaction diffusion formula, but keeps the behaviors of reaction diffusion: self-organized patterns, stable pattern generation and multiple styled pattern. To enable more effective control over pattern generation, the proposed method utilizes a set of modifications on anisotropic diffusion to control shape and introduces a flow field to guide pattern arrangement. The size, density, orientation, and pattern style can be controlled by thresholding and toon mapping. The proposed system was used to generate images in the paper-cut, stylized halftone, and flow visualization, and the results are presented to highlight the control factors of the proposed system.
參考文獻 Barla, P., Thollot, J., & Markosian, L. (2006). X-toon: an extended toon shader. Proceedings of the 4th international symposium on Non-photorealistic animation and rendering.
     Chi, M.-T., Lee, T.-Y., Qu, Y., & Wong, T.-T. (2008). Self-animating images: illusory motion using repeated asymmetric patterns. ACM Transactions on Graphics (TOG).
     Kang, H., Lee, S., & Chui, C. K. (2007). Coherent line drawing. Proceedings of the 5th international symposium on Non-photorealistic animation and rendering.
     Kang, H., Lee, S., & Chui, C. K. (2009). Flow-based image abstraction. Visualization and Computer Graphics, IEEE Transactions on, 15(1), 62-76.
     Kim, T., & Lin, M. (2007). Stable advection‐reaction‐diffusion with arbitrary anisotropy. Computer Animation and Virtual Worlds, 18(4‐5), 329-338.
     Kyprianidis, J. E., & Döllner, J. (2008). Image Abstraction by Structure Adaptive Filtering. Proc. EG UK Theory and Practice of Computer Graphics.
     Lee, H., Seo, S., Ryoo, S., & Yoon, K. (2010). Directional texture transfer. Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering.
     Li, Y., Bao, F., Zhang, E., Kobayashi, Y., & Wonka, P. (2011). Geometry synthesis on surfaces using field-guided shape grammars. Visualization and Computer Graphics, IEEE Transactions on, 17(2), 231-243.
     McGraw, T. (2008). Generalized reaction–diffusion textures. Computers & Graphics, 32(1), 82-92.
     Pearson, J. E. (1993). Complex patterns in a simple system. Science, 261(5118), 189-192.
     Pizer, S. M., Amburn, E. P., Austin, J. D., Cromartie, R., Geselowitz, A., Greer, T., . . . Zuiderveld, K. (1987). Adaptive histogram equalization and its variations. Computer vision, graphics, and image processing, 39(3), 355-368.
     Sanderson, A. R., Johnson, C. R., & Kirby, R. M. (2004). Display of vector fields using a reaction-diffusion model. Visualization, 2004. IEEE.
     Turing, A. (1952). The Chemical Basis of Morphogenesis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 237(641), 37-72.
     Turk, G. (1991). Generating textures on arbitrary surfaces using reaction-diffusion (Vol. 25): ACM Siggraph Computer Graphics.
     Witkin, A., & Kass, M. (1991). Reaction-diffusion textures. ACM Siggraph Computer Graphics, 25(4), 299-308.
     Xu, J., & Kaplan, C. S. (2008). Artistic thresholding. Proceedings of the 6th international symposium on Non-photorealistic animation and rendering.
     Xu, J., Kaplan, C. S., & Mi, X. (2007). Computer-generated papercutting. Computer Graphics and Applications, 2007. PG`07. 15th Pacific Conference on.
     Yao, C.-Y., Chi, M.-T., Lee, T.-Y., & Ju, T. (2012). Region-based line field design using harmonic functions. Visualization and Computer Graphics, IEEE Transactions on, 18(6), 902-913.
描述 碩士
國立政治大學
資訊科學學系
101753039
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0101753039
資料類型 thesis
dc.contributor.advisor 紀明德zh_TW
dc.contributor.advisor Chi, Ming Teen_US
dc.contributor.author (Authors) 劉維晉zh_TW
dc.contributor.author (Authors) Liu, Wei Chingen_US
dc.creator (作者) 劉維晉zh_TW
dc.creator (作者) Liu, Wei Chingen_US
dc.date (日期) 2014en_US
dc.date.accessioned 2016-05-11-
dc.date.available 2016-05-11-
dc.date.issued (上傳時間) 2016-05-11-
dc.identifier (Other Identifiers) G0101753039en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/96377-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊科學學系zh_TW
dc.description (描述) 101753039zh_TW
dc.description.abstract (摘要) 影像風格化是一種改變輸入影像的重要技術，其用來加強圖像的特徵並傳達視覺上的資訊，其中圖案的形狀與分布構成的風格化的基本要素。然而對於初學者而言，設計一個新的風格化圖案以及適當的分佈配置是不容易的。在本文中，提出了一個使用異向性反應擴散的圖像風格化以及圖案生成的方法，並從已知的反應擴散圖案為基礎做延伸，同時保有反應擴散的自我組織圖案的特性。為了能夠有效的控制圖案的生成，利用調整後的異向性擴散用來控制圖案的形狀並結合流場調整圖案的排列。圖案的大小、密度、方向以及風格化樣式可藉由閥值的調整以及顏色映射加以控制。最後本系統用來生成剪紙、風格化半色調影像以及流場的視覺化的結果以突顯本系統之特色。zh_TW
dc.description.abstract (摘要) Image stylization is an essential technique to create the style of input images, enhance image features, and express visual cues. The shape and distribution of the primitive are essential elements in stylization. However, designing a new pattern or creating an appropriate distribution can be challenging for novice users. In this paper, an anisotropic reaction diffusion system for image stylization and pattern generation is proposed. This system starts from modify existed reaction diffusion formula, but keeps the behaviors of reaction diffusion: self-organized patterns, stable pattern generation and multiple styled pattern. To enable more effective control over pattern generation, the proposed method utilizes a set of modifications on anisotropic diffusion to control shape and introduces a flow field to guide pattern arrangement. The size, density, orientation, and pattern style can be controlled by thresholding and toon mapping. The proposed system was used to generate images in the paper-cut, stylized halftone, and flow visualization, and the results are presented to highlight the control factors of the proposed system.en_US
dc.description.tableofcontents 致謝 i
     摘要 ii
     Abstract iii
     Contents iv
     List of Figures vi
     List of Tables viii
     CHAPTER 1 Introduction 1
     CHAPTER 2 Related work 4
     2.1. Reaction diffusion 4
     2.2. Image stylization 6
     2.3. Flow field 7
     CHAPTER 3 Method 9
     3.1. Overview 9
     3.2. Reaction diffusion 10
     3.3. Pattern type and control function 11
     3.3.1. Scaling factor 12
     3.3.2. Anisotropic Diffusion 13
     3.3.3. Flow-guided diffusion 18
     3.3.4. Control parameters 18
     3.4. Post process 19
     3.4.1. Tone Preserving Thresholding 19
     3.4.2. Direction Preserving Toon mapping 21
     CHAPTER 4 Results 24
     4.1. Paper cutting art 24
     4.2. Styled halftone image 26
     4.3. Flow field visualization 30
     CHAPTER 5 Conclusions 34
     References 36		zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0101753039en_US
dc.subject (關鍵詞) 反應擴散zh_TW
dc.subject (關鍵詞) 影像風格化zh_TW
dc.subject (關鍵詞) reaction diffusionen_US
dc.subject (關鍵詞) image stylizationen_US
dc.title (題名) 使用可控制反應擴散之影像風格化技術zh_TW
dc.title (題名) Controllable reaction diffusion for image stylizationen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) Barla, P., Thollot, J., & Markosian, L. (2006). X-toon: an extended toon shader. Proceedings of the 4th international symposium on Non-photorealistic animation and rendering.
     Chi, M.-T., Lee, T.-Y., Qu, Y., & Wong, T.-T. (2008). Self-animating images: illusory motion using repeated asymmetric patterns. ACM Transactions on Graphics (TOG).
     Kang, H., Lee, S., & Chui, C. K. (2007). Coherent line drawing. Proceedings of the 5th international symposium on Non-photorealistic animation and rendering.
     Kang, H., Lee, S., & Chui, C. K. (2009). Flow-based image abstraction. Visualization and Computer Graphics, IEEE Transactions on, 15(1), 62-76.
     Kim, T., & Lin, M. (2007). Stable advection‐reaction‐diffusion with arbitrary anisotropy. Computer Animation and Virtual Worlds, 18(4‐5), 329-338.
     Kyprianidis, J. E., & Döllner, J. (2008). Image Abstraction by Structure Adaptive Filtering. Proc. EG UK Theory and Practice of Computer Graphics.
     Lee, H., Seo, S., Ryoo, S., & Yoon, K. (2010). Directional texture transfer. Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering.
     Li, Y., Bao, F., Zhang, E., Kobayashi, Y., & Wonka, P. (2011). Geometry synthesis on surfaces using field-guided shape grammars. Visualization and Computer Graphics, IEEE Transactions on, 17(2), 231-243.
     McGraw, T. (2008). Generalized reaction–diffusion textures. Computers & Graphics, 32(1), 82-92.
     Pearson, J. E. (1993). Complex patterns in a simple system. Science, 261(5118), 189-192.
     Pizer, S. M., Amburn, E. P., Austin, J. D., Cromartie, R., Geselowitz, A., Greer, T., . . . Zuiderveld, K. (1987). Adaptive histogram equalization and its variations. Computer vision, graphics, and image processing, 39(3), 355-368.
     Sanderson, A. R., Johnson, C. R., & Kirby, R. M. (2004). Display of vector fields using a reaction-diffusion model. Visualization, 2004. IEEE.
     Turing, A. (1952). The Chemical Basis of Morphogenesis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 237(641), 37-72.
     Turk, G. (1991). Generating textures on arbitrary surfaces using reaction-diffusion (Vol. 25): ACM Siggraph Computer Graphics.
     Witkin, A., & Kass, M. (1991). Reaction-diffusion textures. ACM Siggraph Computer Graphics, 25(4), 299-308.
     Xu, J., & Kaplan, C. S. (2008). Artistic thresholding. Proceedings of the 6th international symposium on Non-photorealistic animation and rendering.
     Xu, J., Kaplan, C. S., & Mi, X. (2007). Computer-generated papercutting. Computer Graphics and Applications, 2007. PG`07. 15th Pacific Conference on.
     Yao, C.-Y., Chi, M.-T., Lee, T.-Y., & Ju, T. (2012). Region-based line field design using harmonic functions. Visualization and Computer Graphics, IEEE Transactions on, 18(6), 902-913.		zh_TW