Alpha matting with image pixel correlation
Alpha matting with image pixel correlation
复制标题
具有图像像素相关性的 Alpha 抠图
DOI：
10.1007/s13042-016-0584-1
复制
发表时间：
2016
影响因子：
5.6
通讯作者：
Han Huang
中科院分区：
文献类型：
--
作者：
Xueming Yan;Zhifeng Hao;Han Huang
Alpha抠图的目的是估计图像中的前景不透明度抠图。在基于颜色采样的抠图方法中，寻找未知像素的前景和背景颜色的最佳已知样本是关键。大多数抠图方法每次只能为每个像素选取颜色样本，这使得它们不能保持图像像素之间相同的相关性。特别是，它们可能无法从复杂图像中收集适当的样本，从而导致伪影。为了解决这一问题，本文提出了一种基于相关性的采样方法，该方法利用图像像素的相关性进行颜色采样和最优样本选择，以实现图像的alpha蒙版估计。首先，样本集的前景和背景颜色可以完全覆盖未知像素的颜色，以避免遗漏真实样本。这是通过人工免疫网络自适应学习未知像素的图像相关性来实现的。此外，我们提出的样本选择过程作为一个全局优化问题的图像相关性。将所有未知像素作为一个高维输入变量，采用粒子群优化算法求解全局优化问题，为所有未知像素选择最佳样本对。在图像数据集上的实验研究表明，图像像素相关性是有效的，以提高抠图，我们的抠图结果是可比的一些最近的方法。
Alpha matting aims at estimating the foreground opacity matte in an image. It is critical to find the best known samples for foreground and background color of unknown pixels in color sampling-based matting approaches. Most matting approaches can only select color sample for each pixel each time, which prevent them from maintaining the same correlation in image pixels. In particular, they may fail to collect appropriate samples from complex images and thus lead to artifacts. In order to solve the problem, we present a correlation-based sampling method in which the image pixel correlation is employed in color sampling and optimal sample selection for the alpha matte estimation of the image. First, the foreground and background colors of sample set can completely cover the color of unknown pixels to avoid missing the true samples. This is accomplished by artificial immune network adaptively learning the image correlation in unknown pixels. Besides, we propose the sample selection process as a global optimization problem with image correlation. All unknown pixels are treated as a high-dimensional input variable, particle swarm optimization algorithms is employed to solve the global optimization problem selecting the best sample pairs for all unknown pixels. The experimental study on images dataset shows that image pixels correlation is effective to improve matting, and that our matting results are comparable to some recent approaches.