Abstract | ||
---|---|---|
A review of Bayesian restoration of digital images based on Monte Carlo tech- niques is presented. The topics covered include Likelihood, Prior and Posterior distributions, Poisson, Binary symmetric channel and Gaussian channel mod- els of Likelihood distribution, Ising and Potts spin models of Prior distribution, restoration of an image through Posterior maximization, statistical estimation of a true image from Posterior ensembles, Markov Chain Monte Carlo methods and cluster algorithms. |
Year | Venue | Keywords |
---|---|---|
2005 | Clinical Orthopaedics and Related Research | monte carlo technique,posterior distribution,monte carlo,pattern recognition,markov chain monte carlo,prior distribution,statistical mechanics,binary symmetric channel,digital image |
Field | DocType | Volume |
Markov chain Monte Carlo,Computer science,Particle filter,Artificial intelligence,Gibbs sampling,Monte Carlo method in statistical physics,Mathematical optimization,Monte Carlo method,Pattern recognition,Markov chain,Hybrid Monte Carlo,Algorithm,Maximum a posteriori estimation | Journal | abs/cs/050 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
K. P. N. Murthy | 1 | 9 | 1.32 |
Mohammad Janani | 2 | 13 | 2.41 |
B. Shenbaga Priya | 3 | 0 | 0.34 |