Bayesian Texture and Instrument Parameter Estimation From Blurred and Noisy Images Using MCMC.
Cornelia Paula VacarJean-François GiovannelliYannick BerthoumieuPublished in: IEEE Signal Process. Lett. (2014)
Keyphrases
- noisy images
- parameter estimation
- posterior distribution
- markov chain monte carlo
- metropolis hastings algorithm
- maximum likelihood
- denoising
- noise level
- image denoising
- least squares
- model selection
- markov random field
- em algorithm
- edge detection
- approximate inference
- bayesian model selection
- parameter estimation algorithm
- gibbs sampling
- texture information
- expectation maximization
- texture features
- random fields
- texture analysis
- prior model
- model fitting
- textured images
- wavelet coefficients
- gray level
- texture images
- image processing
- multiresolution
- input image
- feature extraction