Abstract
Digital matting, or pulling a matte, refers to the problem of accurate foreground estimation in images and videos. In such problem, an image or a frame of video is considered as linear interpolation of foreground object and background with different opacity. The purpose of digital matting is to separate them from the source once again. It is one of the key techniques in applications for image editing and film production. One famous and commonly used technique of these applications is chroma key compositing, or blue/green screen compositing. In our approach, we assume those unknown foreground and background intensities are linear combination of known foreground and background pixels accordingly. Based on this conception, we design the affinity value for any two of foreground/background color combination and use an evolutionary dynamic game to evaluate which combination is more significant to an unknown pixel. We can get reasonable results finally by letting these foreground/background color combinations evolve to a stable state. We compare the proposed method and 4 conventional methods to show its feasibility to solve matting problem.