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<p><b>Abstract</b>—Geman and Reynolds [<ref rid="bibi06577" type="bib">7</ref>] present an approach to linear image restoration which provides for recovery of horizontal and vertical gray-level discontinuities from blurred and noisy observations. We extend their model and parameter selection method to include diagonal discontinuities. A hazard of this modeling approach is identified and addressed. We also comment on the truncated Gibbs sampler suggested in the paper [<ref rid="bibi06577" type="bib">7</ref>].</p>
Statistical image reconstruction, discontinuity recovery, parameter selection, Gibbs sampler, Metropolis algorithm, simulated annealing.

C. Jennison and M. Hurn, "An Extension of Geman and Reynolds' Approach to Constrained Restoration and the Recovery of Discontinuities," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 18, no. , pp. 657-662, 1996.
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