An ink-diffusion-based rendering method for Chinese ink painting

摘要

In non-photorealistic rendering (NPR), the Chinese ink painting style rendering is a traditional NPR skill of China. Inthis paper, we propose a method for image-based and ink-diffusion-based Chinese ink painting NPR. Users withoutpainting experience can also convert a normal image to a Chinese ink painting automatically. As we known, ink is animportant pigment for Chinese ink painting and the various ink shade effects on the painting are produced by ink mixedwith water. In addition, the ink diffusion along the boundaries is a very important aspect of Chinese ink painting. Inorder to realize the effects described above, we present a Chinese ink painting NPR method based on ink diffusion. Weuse Mean Shift based image segmentation algorithm to preprocess the input image to get regions with different tones.Then, we detect the segmentation regions' edges letting the edge points to be the start points for diffusion. We set eachpoint an ink value which is corresponding to its gray value. At the same time, a new algorithm simulating ink diffusion isproposed to make the segmentation image look like a black-ink painting. Results in this paper demonstrate our method ispromising.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.