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  • 學位論文

在GPU上的水墨畫筆觸擴散處理方法

Stroke and diffusion processing in ink painting on GPU

指導教授 : 葉思義 陳榮銘
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摘要


在電腦繪圖的領域,可以利用非真實感圖形繪製技術(Non-photorealistic Rendering, NPR)實現水墨畫,但是這種技術的運算過程是非常費時且繁雜的。本論文提出一個新的演算法,藉由縮小處理的範圍,以「飛白筆觸」和「擴散渲染」兩個因素作為主要特徵,這樣不僅能降低計算的複雜度,加快處理的速度,而且又不會失去水墨畫的風格。此外,使用者還可以透過一些簡單的參數設定,快速的做出自己想要的水墨擴散效果。最後,再透過圖形處理器(Graphic Processing Unit, GPU)的計算將成果快速的呈現出。

並列摘要


In the area of computer graphics, the Non-photorealistic Rendering (NPR) technique was used to create ink painting. However, it is very time-consuming and complicated for this algorithm. In this study, we propose a new method based on the techniques of “Fei Bai stroke” and “diffusion”. This new method can not only reduce the complexity, but also accelerate the processing speed. Moreover, it will not lose the characteristic and style of the ink painting. The users could also achieve the effects of ink diffusion they desired by adjusting the parameters in the proposed algorithm. Finally, the results are shown rapidly via GPU computation.

參考文獻


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