Robust image metamorphosis immune from ghost and blur
文献类型：会议论文
| 作者 | Wu, Enhua (1) ; Liu, Feitong (1) |
| 出版日期 | 2013 |
| 关键词 | Image morphing Warping Animation Graph cut |
| 页码 | 311-321 |
| 通讯作者 | Liu, F.(feiecm@qq.com) |
| 中文摘要 | In this paper, we propose a novel method for the metamorphosis between two different images. By the approach, the transition sequence is generated by stitching two forward and backward warped sequences in a three-dimensional space along transition surface. In contrast to the traditional methods by blending two warped images at each intermediate frame, we continuously warp images on opposite direction without blending until the two warped images match in a three-dimensional space leading to a better transition in quality. Furthermore, for each pixel, we make decision of choosing a given input image best suitable so as to produce plausible in-between images to prevent from ghost and blur. By our scheme, the transition surface is computed by minimizing an energy function in terms of graph-cut optimization. Depending on the transition surface, a warp function is proposed to create a smooth and clear transformation. We demonstrate the advantage of our framework by performing transformation test to various kinds of image couples. © 2012 Springer-Verlag. |
| 英文摘要 | In this paper, we propose a novel method for the metamorphosis between two different images. By the approach, the transition sequence is generated by stitching two forward and backward warped sequences in a three-dimensional space along transition surface. In contrast to the traditional methods by blending two warped images at each intermediate frame, we continuously warp images on opposite direction without blending until the two warped images match in a three-dimensional space leading to a better transition in quality. Furthermore, for each pixel, we make decision of choosing a given input image best suitable so as to produce plausible in-between images to prevent from ghost and blur. By our scheme, the transition surface is computed by minimizing an energy function in terms of graph-cut optimization. Depending on the transition surface, a warp function is proposed to create a smooth and clear transformation. We demonstrate the advantage of our framework by performing transformation test to various kinds of image couples. © 2012 Springer-Verlag. |
| 收录类别 | SCI ; EI |
| 会议录出版地 | Springer Verlag |
| 语种 | 英语 |
| ISSN号 | 1782789 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16497]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Wu, Enhua ,Liu, Feitong . Robust image metamorphosis immune from ghost and blur[C]. 见:. |
入库方式： OAI收割
来源：软件研究所
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