## Abstract The problem of edgeβpreserving tomographic reconstruction from Gaussian data is considered. The problem is formulated within a Bayesian framework, where the image is modeled as a pair of Markov Random Fields: a continuousβvalued intensity process and a binary line process. The __a prior
Prediction from a normal model using a generalized inverse Gaussian prior
β Scribed by L. Thabane; M. Safiul Haq
- Publisher
- Springer-Verlag
- Year
- 1999
- Tongue
- English
- Weight
- 291 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0932-5026
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