The purpose of Digital Image Matting is to extract objects of interest from background in a digital image. It can provide film-making, Image Based Modeling and Rendering with natural resources. And some of its techniques can be applied to Object-Oriented Media Compression. Therefore, it is popular at present looking for ways to extr act foreground accurately and conveniently, which, however, is not an easy task at all, since boundaries of a natural object in an image is often blurred. Alpha based image matting approaches are aiming at exactly these cases. In this paper we introduce and implement in MATLAB environment three unique methods based on Alpha value. They are Hillman, Ruzon & Tomasi and Poisson algorithms. After testing, we give them systematic comparisons and analyses. Then, we improve the “distance measure” definition of Ruzon & Tomasi’s approach and obtain optimized result. Finally, all the three methods and the improved version are built up into a uniform GUI, as a simple “tool” of matting. We notice that when foreground and background colors have sharp contrasts and the colors are changing smoothly along the boundary, the matting result is satisfying enough, in terms of quality and time cost. act foreground accurately and conveniently, which, however, is not an easy task at all, since boundaries of a natural object in an image is often blurred. Alpha based image matting approaches are aiming at exactly these cases. In this paper we introduce and implement in MATLAB environment three unique methods based on Alpha value. They are Hillman, Ruzon & Tomasi and Poisson algorithms. After testing, we give them systematic comparisons and analyses. Then, we improve the “distance measure” definition of Ruzon & Tomasi’s approach and obtain optimized result. Finally, all the three methods and the improved version are built up into a uniform GUI, as a simple “tool” of matting. We notice that when foreground and background colors have sharp contrasts and the colors are changing smoothly along the boundary, the matting result is satisfying enough, in terms of quality and time cost.