Image Renaissance Using Discrete Optimization
Image Renaissance Using Discrete Optimization
复制标题
使用离散优化的图像复兴
DOI：
10.1109/icpr.2006.686
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
N. Paragios
中科院分区：
文献类型：
--
作者：
C. Allène;N. Paragios
在本文中，我们提出了一种图像补全的新技术，通过基于图的匹配过程来解决图像复兴问题。为此，考虑了一些内容与待修复区域相似的候选种子。它们通过粒子过滤方法进行选择，然后定位在缺失区域上。马尔可夫随机场用于将修复形式化为标签估计问题，而组合方法用于恢复补丁的最佳分区，通过 alpha 扩展过程完成缺失区域。图像和纹理补全方面的有希望的结果证明了所提出方法的潜力
In this paper we propose a novel technique to image completion that addresses image renaissance through a graph-based matching process. To this end, a number of candidate seeds with content similar to the one of the area to be inpainted are considered. They are selected through a particle filter method and then positioned over the missing area. Markov random fields are used to formalize inpainting as a labeling estimation problem while a combinatorial approach is used to recover the optimal partition of patches that completes the missing area with the alpha-expansion process. Promising results in image and texture completion demonstrate the potentials of the proposed method
DOI：
10.1109/tpami.1984.4767596
发表时间：
1984-01-01
影响因子：
23.6
作者：
GEMAN, S;GEMAN, D
通讯作者：
GEMAN, D