论文标题
快速多层前景估计
Fast Multi-Level Foreground Estimation
论文作者
论文摘要
Alpha Matting旨在估计给定图像中对象的透明度。所得的alpha哑光描述了像素的前景和背景颜色有助于复合图像的颜色。尽管文献中的大多数方法都集中在估计α哑光上，但考虑到输入图像及其α哑光的前景颜色的估计过程经常被忽略，尽管前景估计是许多图像编辑工作流的重要组成部分。在这项工作中，我们提出了一种新的方法，用于鉴于Alpha哑光。我们证明，我们的快速多级方法产生的结果与最先进的方法相当，同时在计算运行时和内存使用中表现优于这些方法。
Alpha matting aims to estimate the translucency of an object in a given image. The resulting alpha matte describes pixel-wise to what amount foreground and background colors contribute to the color of the composite image. While most methods in literature focus on estimating the alpha matte, the process of estimating the foreground colors given the input image and its alpha matte is often neglected, although foreground estimation is an essential part of many image editing workflows. In this work, we propose a novel method for foreground estimation given the alpha matte. We demonstrate that our fast multi-level approach yields results that are comparable with the state-of-the-art while outperforming those methods in computational runtime and memory usage.
