Texture Synthesis by Non-Parametric Sampling

  • Authors:
  • Alexei A. Efros;Thomas K. Leung

  • Affiliations:
  • -;-

  • Venue:
  • ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
  • Year:
  • 1999

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Abstract

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.