Geman and Geman: stochastic relaxation and Bayesian image restoration

What changed

Connected Gibbs distributions, Markov random fields, and image restoration with a sampling/annealing algorithm.

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.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. 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.

Contributors

• Stuart Geman · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Donald Geman · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.

• IEEE record for stochastic relaxation and image restoration

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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