What is recorded here?
Connected Gibbs distributions and Markov random fields to Bayesian image restoration and introduced stochastic relaxation with Gibbs sampling for computing image estimates.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the exact two-author 1984 paper. It does not absorb the Metropolis algorithm, all Markov-chain Monte Carlo, simulated annealing or later image models.
Read the original work
- IEEE record for stochastic relaxation and image restoration
- MIT Press scholarly reprint record for Geman and Geman 1984
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Stuart Geman; Donald Geman
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
Research locations and affiliations
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Documented countries / regions: United States
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English catalogue narrative
Geman and Geman: stochastic relaxation and Bayesian image restoration
Connected Gibbs distributions and Markov random fields to Bayesian image restoration and introduced stochastic relaxation with Gibbs sampling for computing image estimates.
Scientific scope
The record is the exact two-author 1984 paper. It does not absorb the Metropolis algorithm, all Markov-chain Monte Carlo, simulated annealing or later image models.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Stuart Geman; Donald Geman
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.