Title :
A non-photorealistic rendering algorithm for cartoons
Author :
Li-wen Lu ; Yuan-yuan Pu ; Heng Zhang ; Dan Xu
Author_Institution :
Inf. Sci. & Eng., Univ. of Yunnan, Kunming, China
Abstract :
In this paper, a non-photorealistic rendering technology of cartoons is studied. A new algorithm which can automatically generate cartoon paintings is proposed. This method needs no user´s participation and no drawing skills. Firstly, by using the bilateral filtering, the abstract visually appealing and restrain minor features can be highlighted. Second, the abstract image is quantified to imitate the coloring style of the cartoon. Third, FDOG filter is used to draw contour lines of the abstract image to further improve visualization. Last, the quantized image and the contour image are fused to produce an image with the cartoons. The result shows that cartoons generated by this algorithm have characters of art aesthetic and a better visualization.
Keywords :
Gaussian processes; data compression; data visualisation; edge detection; filtering theory; image coding; image colour analysis; rendering (computer graphics); FDOG filter; abstract image; art aesthetic; bilateral filtering; cartoon paintings; coloring style; contour image; contour lines; flow based difference of Gaussians filter; image quantization; nonphotorealistic rendering algorithm; visualization; Abstracts; Image color analysis; Image edge detection; Information filtering; Painting; Quantization (signal); Rendering (computer graphics); abstract quantification; cartoons; fdog; non-photorealistic rendering;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6745252