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Graph."],"published-print":{"date-parts":[[2011,12]]},"abstract":"<jats:p>Despite the widespread use of measured real-world materials, intuitive tools for editing measured reflectance datasets are still lacking. We present a solution inspired by natural image matting and texture synthesis to the<jats:italic>material matting<\/jats:italic>problem, which allows separating a measured spatially-varying material into simpler foreground and background component materials and a corresponding opacity map. We approach this problem in the context of Bayesian statistics and introduce a new prior on materials that favors those with highly self-similar stochastic structure. 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