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2.2.1

MRF Priors for Image Surfaces

 

The underlying surface from which f is sampled is a graph surface defined on a continuous domain where is the height of the surface at . The first factor affecting the specification of the MRF prior distributions is whether takes a continuous or discrete value. We are interested in which is either piecewise continuous or piecewise constant, i.e. being piecewise because of involved discontinuities. In the image representation, is sampled at an image lattice, giving sampled surface heights . In the subsequent presentation, the double subscript (i,j) is replaced by the single subscript i and the MRF samples is denoted as unless there is a need for the elaboration.

The set of the sampled heights is assumed to be a realization of an MRF, that is at a particular location i depends on those in the neighborhood. According to MRF-Gibbs equivalence, specifying the prior distribution of an MRF amounts to specifying the clique potential functions in the corresponding Gibbs prior distribution (1.24). The assumption of being continuous, piecewise continuous or piecewise constant leads to different Gibbs distributions for the MRF.