Closed Form is a propagation based matting algorithm, functioning well on images with good propagation . The deficiency of the Closed Form method is that for complex areas with poor image propagation , such as hole areas or areas of long and narrow structures. The right results are usually hard to get. On these areas, if certain flags are provided, it can improve the effects of matting. In this...

Image matting, also refers to picture matting in the article, is task of finding appealing targets a or sequence pictures i.e., video, and it has been used extensively many photo video editing applications. composition process extracting an eye-catching subject from photograph blending with different background. a) Blue/Green screen (curtain) where backdrop clear readily distinct between foregr...

Extracting temporally-coherent alpha mattes in video is an important but challenging problem in post-production. Previous video matting systems are highly sensitive to initial conditions and image noise, thus cannot reliably produce stable alpha mattes without temporal jitter. In this paper we propose an improved video matting system which contains two new components: (1) an accurate trimap pro...

Natural image matting continues to play a large role in a wide variety of applications. As an ill-posed problem, matting is a very difficult to solve due to its underconstrained nature. Current approaches can require a lot of user input, restrict themselves to a sparse subset of the image, and often make assumptions that are unlikely to hold. In this paper, we pose a way to better satisfy smoot...

We propose a method for incorporating multiview information into color sampling methodologies for alpha matting. We extend the typical trimap input for matting algorithms to 3D space, enabling the association of stripes of pixels in semi-transparent regions like hair between different views without knowing or inferring their spatial structure. We also formulate a new cost function penalizing de...

In this paper, we formulate the image matting as one of solving energy minimization problems. Our approach has the following advantages. First, the matte estimation is modeled using an energy function as a MRF optimization problem. Second, the energy function combines the gradient of the matte, the gradient of the color and statistical sampling together to achieve global optimization. Third, th...

Image matting and segmentation are two closely related topics that concern extracting the foreground and background of an image. While the methods based on global optimization are popular in both fields, the cost functions and the optimization methods have been developed independently due to the different interests of the fields: graph cuts optimize combinatorial functions yielding hard segment...