Computer ScienceMathematics
J. Besag, J. York, A. Mollié
tlooto Summary
The present paper argues that many problems in the analysis of spatial data can be interpreted as problems of image restoration, since the amounts of data involved allow routine use of computer intensive methods, such as the Gibbs sampler, that are not yet practicable for conventional images.
Abstract
Abstract is not available.
Citation format
BESAG, J.; YORK, J.; MOLLIÉ, A. Bayesian image restoration, with two applications in spatial statistics. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 1991, 43: 1–20.