An Alternative Matting Laplacian
This work addresses matting tasks in applications like image editing, but it is incremental as it builds on an existing core method.
The paper tackles the problem of object matting by proposing an alternative formulation to the closed-form matting method, offering more flexible controls over matting priors and demonstrating efficiency in upscaling transparency maps from coarse estimates.
Cutting out and object and estimate its transparency mask is a key task in many applications. We take on the work on closed-form matting by Levin et al., that is used at the core of many matting techniques, and propose an alternative formulation that offers more flexible controls over the matting priors. We also show that this new approach is efficient at upscaling transparency maps from coarse estimates.