AN IMPLEMENTATION OF ADAPTIVE PROPAGATION-BASED COLOR SAMPLING FOR IMAGE MATTING
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Abstract
Natural image matting refers to the problem of an extracting the region of interest such as foreground object from an image based on the user inputs like scribbles or trimap. The proposed algorithm combines propagation and color sampling methods. Unlike previous propagation-based approaches that used either local or non local propagation method, the proposed framework adaptively uses both local and non local processes according to the detection result of the different region in the image. The proposed color sampling strategy, which is based on the characteristic of super pixel uses a simple sample selection criterion and requires significantly less computational cost.
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