Coherence-enhancing line drawing for color images
文献类型：期刊论文
| 作者 | Wang ShanDong ; Ma ZiYang ; Liu XueHui ; Chen YanYun ; Wu EnHua |
| 刊名 | SCIENCE CHINA-INFORMATION SCIENCES
 |
| 出版日期 | 2013 |
| 卷号 | 56期号:11 |
| 关键词 | non-photorealistic rendering line drawing FDoG filter coherence-enhancing real-time computation |
| ISSN号 | 1674-733X |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000329537800007 |
| 公开日期 | 2014-12-16 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16903]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 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). |
入库方式： OAI收割
来源：软件研究所
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