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In this paper, we propose a novel framework to solve the image matting problem. We design a temporary image based on the estimated foreground and background colors for unknown pixels as well as an initial matte. The similarity of the temporary image and original image is modeled as an energy function in the Markov Random Field (MRF). The global optimized matte is obtained by minimizing the energy...
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