BAYESIAN IMAGE RESTORATION, USING CONFIGURATIONS
In this paper, we develop a Bayesian procedure for removing noise from images that can be viewed as noisy realisations of random sets in the plane. The procedure utilises recent advances in configuration theory for noise free random sets, where the probabilities of observing the different boundary c...
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| Format: | Article |
| Language: | English |
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Slovenian Society for Stereology and Quantitative Image Analysis
2011-05-01
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| Series: | Image Analysis and Stereology |
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| Online Access: | http://www.ias-iss.org/ojs/IAS/article/view/800 |