| 基于自动结构延伸的图像修补方法 |
| |
| 引用本文： | 朱为,李国辉.基于自动结构延伸的图像修补方法[J].自动化学报,2009,35(8):1041-1047. |
| |
| 作者姓名： | 朱为 李国辉 |
| |
| 作者单位： | 1.国防科技大学信息系统与管理学院 长沙 410073 |
| |
| 摘 要： | 针对图像修补问题中结构信息修补的难题, 提出一种自动延伸图像中显著结构信息并完成图像修补的方法. 通过提取图像未知区域周围的显著结构信息, 并依据结构信息的趋势向未知区域中自动延伸, 形成指导修补的辅助线. 沿着辅助线修补显著结构信息后再利用基于块的纹理合成修复余下的未知区域. 实验结果证明本文提出方法相比传统基于块的纹理合成方法能够得到更好的修补效果.
|
| 关 键 词： | 结构延伸 图像修补 纹理合成 偏微分方程 结构辅助线 |
| 收稿时间： | 2008-6-12 |
| 修稿时间： | 2009-1-8 |
Image Completion Based on Automatic Structure Propagation |
| |
| ZHU Wei LI Guo-Hui.Image Completion Based on Automatic Structure Propagation[J].Acta Automatica Sinica,2009,35(8):1041-1047. |
| |
| Authors: | ZHU Wei LI Guo-Hui |
| |
| Affiliation: | 1.Institute of Information System and Management, National University of Defence Technology, Changsha 410073 |
| |
| Abstract: | In order to resolve the challenging problem of repairing structure in image completion, we introduce a novel image completion approach based on automatic salient structure propagation. Our approach automatically finds the salient structural information around the unknown regions, and extends them into unknown regions to construct assistant curves. After synthesizing the missing structural information along the assistant curves, we fill in the remaining unknown regions using patch-based texture synthesis. Experiment results demonstrate a better effect of the proposed approach than that of the previous patch-based texture synthesis image completion method. |
| |
| Keywords: | Structure propagation image completion texture synthesis partial differential equation structure assistant curve |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《自动化学报》浏览原始摘要信息 |
|
点击此处可从《自动化学报》下载全文 |
