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- W2066754977 abstract "The main approaches to texture modeling are the statistical psychophysically inspired model and the patch-based model. In the first model the texture is characterized by a sophisticated statistical signature. The associated sampling algorithm estimates this signature from the example and produces a genuinely different texture. This texture nevertheless often loses accuracy. The second model boils down to a clever copy-paste procedure, which stitches verbatim copies of large regions of the example. We propose in this communication to involve a locally Gaussian texture model in the patch space. It permits to synthesize textures that are everywhere different from the original but with better quality than the purely statistical methods." @default.
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- W2066754977 date "2014-10-01" @default.
- W2066754977 modified "2023-10-15" @default.
- W2066754977 title "Locally Gaussian exemplar based texture synthesis" @default.
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- W2066754977 doi "https://doi.org/10.1109/icip.2014.7025946" @default.
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