Texture Synthesis is the process of generating an arbitrarily big texture consistent with the pattern of a smaller sample given as input. Assumed a Random Markov Field model, the probability of a pixel belonging to the new texture to have a certain value depends on its spatial neighborhood. That is, the color of a pixel X with an l-shaped neighborhood nX, will be the color of the pixel Y that has the most similar neighborhood nY to nX.
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