Intent-aware image cloning
文献类型：期刊论文
| 作者 | Bie, Xiaohui ; Wang, Wencheng ; Sun, Hanqiu ; Huang, Haoda ; Zhang, Minying |
| 刊名 | VISUAL COMPUTER
 |
| 出版日期 | 2013 |
| 卷号 | 29期号:6-8页码:599-608 |
| 关键词 | Intent representation Image cloning Image composition |
| ISSN号 | 0178-2789 |
| 中文摘要 | Currently, gradient domain methods are popular for producing seamless cloning of a source image patch into a target image. However, structure conflicts between the source image patch and the target image may generate artifacts, preventing the general practices. In this paper, we tackle the challenge by incorporating the users' intent in outlining the source patch, where the boundary drawn generally has different appearances from the objects of interest. We first reveal that artifacts exist in the over-included region, the region outside the objects of interest in the source patch. Then we use the diversity from the boundary to approximately distinguish the objects from the over-included region, and design a new algorithm to make the target image adaptively take effects in blending. So the structure conflicts can be efficiently suppressed to remove the artifacts around the objects of interest in the composite result. Moreover, we develop an interpolation measure to composite the final image rather than solving a Poisson equation, and speed up the interpolation by treating pixels in clusters and using hierarchical sampling techniques. Our method is simple to use for instant and high-quality image cloning, in which users only need to outline a region of interested objects to process. Our experimental results have demonstrated the effectiveness of our cloning method. |
| 英文摘要 | Currently, gradient domain methods are popular for producing seamless cloning of a source image patch into a target image. However, structure conflicts between the source image patch and the target image may generate artifacts, preventing the general practices. In this paper, we tackle the challenge by incorporating the users' intent in outlining the source patch, where the boundary drawn generally has different appearances from the objects of interest. We first reveal that artifacts exist in the over-included region, the region outside the objects of interest in the source patch. Then we use the diversity from the boundary to approximately distinguish the objects from the over-included region, and design a new algorithm to make the target image adaptively take effects in blending. So the structure conflicts can be efficiently suppressed to remove the artifacts around the objects of interest in the composite result. Moreover, we develop an interpolation measure to composite the final image rather than solving a Poisson equation, and speed up the interpolation by treating pixels in clusters and using hierarchical sampling techniques. Our method is simple to use for instant and high-quality image cloning, in which users only need to outline a region of interested objects to process. Our experimental results have demonstrated the effectiveness of our cloning method. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000319478400014 |
| 公开日期 | 2014-12-16 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16930]  |
| 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 | Bie, Xiaohui,Wang, Wencheng,Sun, Hanqiu,et al. Intent-aware image cloning[J]. VISUAL COMPUTER,2013,29(6-8):599-608. |
| APA | Bie, Xiaohui,Wang, Wencheng,Sun, Hanqiu,Huang, Haoda,&Zhang, Minying.(2013).Intent-aware image cloning.VISUAL COMPUTER,29(6-8),599-608. |
| MLA | Bie, Xiaohui,et al."Intent-aware image cloning".VISUAL COMPUTER 29.6-8(2013):599-608. |
入库方式： OAI收割
来源：软件研究所
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