Oriented Poisson Matting

Matting is of great importance in image editing, which evaluates the opacity value with dependence on the provided foreground and background information. How to keep the subtle details is the main focus in soft matting. In this paper, we extend the previous Poisson matting approach in three points. An acquisition of subtle details is proposed, which is employed for the input to matting procedure. The modification to Poisson equation from divergence-based to eigenvector-based makes the matting more faithful to the details. Moreover, the construction of simultaneous equations is presented. By these improvements, Poisson matting could be finished in one procedure and extract the delicate matte. We name the proposed method as Oriented Poisson Matting. The demonstrations show that ours outperforms previous Poisson matting.