Improvement of Image and Video Matting with Multiple Reliability Maps
Improvement of Image and Video Matting with Multiple Reliability Maps
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DOI：
10.1109/ism.2015.28
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发表时间：
2015-12
期刊：
影响因子：
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通讯作者：
Takahiro Hayashi;Masato Ishimori;N. Ishii;K. Abe
中科院分区：
文献类型：
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作者：
Takahiro Hayashi;Masato Ishimori;N. Ishii;K. Abe
在本文中，我们提出了一个框架来扩展现有的匹配方法，以实现更可靠的阿尔法估计。该框架的核心思想是基于多个阿尔法地图的可靠性来整合它们。在该框架中，给定的输入图像被转换为具有不同亮度外观的多个灰度图像。然后，通过利用现有的遮片方法来生成与这些灰度图像相对应的阿尔法贴图。同时，生成可靠性图(可视化估计的alpha值的可靠性的单通道图像)。最后，通过组合每个局部区域中具有最高可靠性的阿尔法地图，生成一个可靠的阿尔法地图。实验结果表明，该框架可以实现可靠的α估计。
In this paper, we propose a framework for extending existing matting methods to actualize more reliable alpha estimation. The key idea of the framework is integration of multiple alpha maps based on their reliabilities. In the proposed framework, the given input image is converted into multiple grayscale images having various luminance appearances. Then, alpha maps are generated corresponding to these grayscale images by utilizing an existing matting method. At the same time reliability maps (single channel images visualizing the reliabilities of the estimated alpha values) are generated. Finally, by combining alpha maps having the highest reliabilities in each local region, one reliable alpha map is generated. The experimental results have shown that reliable alpha estimation can be actualized by the proposed framework.