A non-parametric method for texture synthesis 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-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