Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/37724
標題: Image-based color ink diffusion rendering
作者: Wang, C.M.
王宗銘 
Wang, R.J.
關鍵字: Chinese ink;ink diffusion;image-based;painterly rendering;nonphotorealistic rendering;Kubelka-Munk theory
Project: Ieee Transactions on Visualization and Computer Graphics
期刊/報告no:: Ieee Transactions on Visualization and Computer Graphics, Volume 13, Issue 2, Page(s) 235-246.
摘要: 
This paper proposes an image-based painterly rendering algorithm for automatically synthesizing an image with color ink diffusion. We suggest a mathematical model with a physical base to simulate the phenomenon of color colloidal ink diffusing into absorbent paper. Our algorithm contains three main parts: a feature extraction phase, a Kubelka-Munk (KM) color mixing phase, and a color ink diffusion synthesis phase. In the feature extraction phase, the information of the reference image is simplified by luminance division and color segmentation. In the color mixing phase, the KM theory is employed to approximate the result when one pigment is painted upon another pigment layer. Then, in the color ink diffusion synthesis phase, the physically-based model that we propose is employed to simulate the result of color ink diffusion in absorbent paper using a texture synthesis technique. Our image-based ink diffusing rendering (IBCIDR) algorithm eliminates the drawback of conventional Chinese ink simulations, which are limited to the black ink domain, and our approach demonstrates that, without using any strokes, a color image can be automatically converted to the diffused ink style with a visually pleasing appearance.
URI: http://hdl.handle.net/11455/37724
ISSN: 1077-2626
DOI: 10.1109/tvcg.2007.41
Appears in Collections:資訊科學與工程學系所

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