{"title":"一个非逼真的动画渲染算法","authors":"Lipin Lu, Yuanyuan Pu, Heng Zhang, Dan Xu","doi":"10.1109/CISP.2013.6745252","DOIUrl":null,"url":null,"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.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A non-photorealistic rendering algorithm for cartoons\",\"authors\":\"Lipin Lu, Yuanyuan Pu, Heng Zhang, Dan Xu\",\"doi\":\"10.1109/CISP.2013.6745252\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":442320,\"journal\":{\"name\":\"2013 6th International Congress on Image and Signal Processing (CISP)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 6th International Congress on Image and Signal Processing (CISP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP.2013.6745252\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 6th International Congress on Image and Signal Processing (CISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP.2013.6745252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A non-photorealistic rendering algorithm for cartoons
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.