Title :
Non-Photorealistic Rendering for Streamline Stylization Using Sequential Filters
Author :
Chen, Xiaoguang ; Liu, Jiang ; Wu, Ran
Author_Institution :
Inst. of Image Process. & Pattern Recognition, North China Univ. of Technol., Beijing, China
Abstract :
Non-photorealistic rendering (NPR) such as stylization has received much concern in area of computer graphics and image processing. In this paper, a simple and effective method is proposed for streamline stylization. Through a kind of sequential filters, the method performs a series of operations, including detail removal, region smoothing, structure enhancement, and edge sharpen, to transform common pictures into Impressionist oil-painting like images with streamline style. Experimental results on a gallery of images demonstrate that our method can render images in good NPR style impressively and provide encouraging visual effects.
Keywords :
art; edge detection; filtering theory; image enhancement; rendering (computer graphics); NPR style; computer graphics; detail removal; edge sharpen; image filtering; image processing; impressionist oil-painting like images; nonphotorealistic rendering; region smoothing; sequential filters; streamline stylization; structure enhancement; visual effects; Electric shock; Image edge detection; Painting; Rendering (computer graphics); Smoothing methods; Streaming media; image filtering; non-photorealistic rendering; sequential filters; streamline stylization;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
DOI :
10.1109/IHMSC.2012.68
