  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.
