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Texture synthesis by non-parametric sampling

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2 Author(s)
Efros, A.A. ; Comput. Sci. Div., California Univ., Berkeley, CA, USA ; Leung, T.K.

A non-parametric method for texture synthesis is proposed. The texture synthesis process grows a new image outward from an initial seed, one pixel at a time. A Markov random field model is assumed, and the conditional distribution of a pixel given all its neighbors synthesized so far is estimated by querying the sample image and finding all similar neighborhoods. The degree of randomness is controlled by a single perceptually intuitive parameter. The method aims at preserving as much local structure as possible and produces good results for a wide variety of synthetic and real-world textures

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Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on  (Volume:2 )

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