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Gaussian Markov Random Field Sampler

In this section, we consider the class of 2-D non-causal models called the Gaussian Markov random field (GMRF) models described in [6], [12], [21], and [46]. Pixel gray levels have joint Gaussian distributions and correlations controlled by a number of parameters representing the statistical dependence of a pixel value on the pixel values in a symmetric neighborhood. There are two basic schemes for generating a GMRF image model, both of which are discussed in [6].





next up previous
Next: Iterative Gaussian Markov Up: Texture Synthesis Previous: A Parallel Gibbs



David A. Bader
dbader@umiacs.umd.edu