Fast methods for Bayesian filtering of images (filtering and restoration of images, edge enhancement, and selection of homogeneous regions).

Details Fast methods for Bayesian filtering of images (filtering and restoration of images, edge enhancement, and selection of homogeneous regions). Fast methods for Bayesian filtering of images (filtering and restoration of images, edge enhancement, and selection of homogeneous regions).

Jun 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999pria....9..259g&link_type=abstract

Pattern Recognit. Image Anal., Vol. 9, No. 2, p. 259 - 261

Mathematics

Probability

Image Processing

Scientific paper

Filtering methods for noisy images are considered. Statistical approaches to this problem are discussed, that are based on a representation of the image as a realization of a random field with a known probability description. Causal filtering of Gaussian fields observed under Gaussian noise and of fields with an arbitrary distribution from incomplete data are considered.

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