Image and Video Inpainting
Image and Video Inpainting
批准号:
0429037
负责人:
Guillermo Sapiro
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-15 至 2009-08-31
关键词:
中文摘要
该项目涉及图像和视频修复领域,即以不可检测的形式修改图像的技术。图像修复的目标和应用与艺术本身一样古老,从修复受损的绘画和照片到删除场景中的选定对象以及发现遮挡背后的数据。图像修复对于不太传统的应用也很重要,例如无线传输和压缩以及来自相机阵列的图像集成。 该项目的目标是开发图像,视频,三维和多视图修复的工作解决方案,并解决图像和胶片恢复和更改,从相机阵列中恢复图像以及填充3D范围数据中的孔等应用。修复的生物学方面,通过其迷人的可能的连接与伪装和填补人类的盲点,以及调查。该项目的理论和应用涵盖了图像处理、偏微分方程和流体动力学、数值分析、艺术、计算机图形学、娱乐和生物学等非常广泛的领域。修复问题是将待填充区域周围可用的空间和时间信息平滑地连续计算。这是通过偏微分方程来实现的,它结合了从流体动力学到完形光滑边界延拓的原理。结合这些技术与更经典的纹理合成算法也解决和利用在这个项目中。该研究解决了这个问题的一般性,假设不同的和大的区域被修复,并得出两个基本的理论方面和practicalworking系统。
英文摘要
This project addresses the area of image and video inpainting, the technique of modifying an image in an undetectable form. The goals and applications of inpainting, which is as ancient as art itself, are numerous, from the restoration of damaged paintings and photographs to the removal of selected objects in a scene and the discovery of data behind occlusions. Image inpainting is also important for less-conventional applications such as wireless transmission and compression and image integration from camera arrays. The goal of this project is to develop a working solution to image, video, three dimensional, and multiple views inpainting and to address applications such as image and film restoration and alteration, image recovery from camera arrays, and filling-in of holes in 3D range data. Biological aspects of inpainting, through its fascinating possible connections with camouflage and the filling-in of the human blind spot, are investigated as well. The theory and applications of this project cover very diverse areas such as image processing, partial differential equations and fluid dynamics, numerical analysis, art, computer graphics, entertainment, and biology.The inpainting problem is addressed as the computation of a smooth continuation of the available spatial andtemporal information surrounding the region to be filled-in. This is achieved via partial differential equations, which incorporate principles ranging from fluid dynamics to Gestalt's smooth boundary continuation. The combination of these techniques with more classical texture synthesis algorithms is also addressed and exploited in this project. The research addresses the problem in its generality, assuming diverse and large regions to be inpainted, and derives both fundamental theoretical aspects and practicalworking systems.
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会议论文
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