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| Coherence-enhancing line drawing for color images | |
| Wang ShanDong; Ma ZiYang; Liu XueHui; Chen YanYun; Wu EnHua | |
| 2013 | |
| Source | SCIENCE CHINA-INFORMATION SCIENCES
 |
| ISSN | 1674-733X |
| Volume | 56Issue:11 |
| English Abstract | 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. |
| Indexed Type | SCI |
| Keyword | Non-photorealistic Rendering Line Drawing Fdog Filter Coherence-enhancing Real-time Computation |
| Department | [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. |
| Language | 英语 |
| WOS ID | WOS:000329537800007 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16903 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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). |
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