Coherence-enhancing line drawing for color images

ISCAS OpenIR

	Coherence-enhancing line drawing for color images
	Wang ShanDong; Ma ZiYang; Liu XueHui; Chen YanYun; Wu EnHua
	2013
发表期刊	SCIENCE CHINA-INFORMATION SCIENCES
ISSN	1674-733X
卷号	56 期号:11
摘要	Line drawing plays an important role in many image-based non-photorealistic applications. However, most existing approaches use a grayscale edge detector for line extraction, so that only luminance differences between nearby image pixels is taken into account, but the chrominance differences is ignored. This leads to the undesirable consequence that visually significant edges in adjacent regions with different colors of similar luminance cannot be detected. To address this limitation, we present a novel enhanced line drawing method based on a flow-based difference-of-Gaussians (FDoG) filter. Because of an inherent property of the thresholded DoG edge model, captured lines may appear dislodged from the true edges in the image. To this end, we provide a gradient-guided warping technique so that smooth and coherent lines can be extracted in the correct location. The GPU implementation of the proposed algorithms allows real-time performance, and experimental examples with various color images demonstrate the method's superior qualitative performance over previous approaches.; Line drawing plays an important role in many image-based non-photorealistic applications. However, most existing approaches use a grayscale edge detector for line extraction, so that only luminance differences between nearby image pixels is taken into account, but the chrominance differences is ignored. This leads to the undesirable consequence that visually significant edges in adjacent regions with different colors of similar luminance cannot be detected. To address this limitation, we present a novel enhanced line drawing method based on a flow-based difference-of-Gaussians (FDoG) filter. Because of an inherent property of the thresholded DoG edge model, captured lines may appear dislodged from the true edges in the image. To this end, we provide a gradient-guided warping technique so that smooth and coherent lines can be extracted in the correct location. The GPU implementation of the proposed algorithms allows real-time performance, and experimental examples with various color images demonstrate the method's superior qualitative performance over previous approaches.
收录类别	SCI
关键词	Non-photorealistic Rendering Line Drawing Fdog Filter Coherence-enhancing Real-time Computation
部门归属	[Wang ShanDong; Ma ZiYang; Liu XueHui; Chen YanYun; Wu EnHua] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China. [Wang ShanDong; Wu EnHua] Univ Macau, Dept Comp & Informat Sci, Taipa, Peoples R China. [Wang ShanDong; Ma ZiYang; Wu EnHua] Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China.
语种	英语
WOS记录号	WOS:000329537800007
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16903
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Wang ShanDong,Ma ZiYang,Liu XueHui,et al. Coherence-enhancing line drawing for color images[J]. SCIENCE CHINA-INFORMATION SCIENCES,2013,56(11).
APA	Wang ShanDong,Ma ZiYang,Liu XueHui,Chen YanYun,&Wu EnHua.(2013).Coherence-enhancing line drawing for color images.SCIENCE CHINA-INFORMATION SCIENCES,56(11).
MLA	Wang ShanDong,et al."Coherence-enhancing line drawing for color images".SCIENCE CHINA-INFORMATION SCIENCES 56.11(2013).