Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model.
Craig K. AbbeyEric ClarksonHarrison H. BarrettStefan P. MüllerFrank J. RybickiPublished in: IPMI (1997)
Keyphrases
- noise model
- maximum likelihood
- gaussian distribution
- maximum a posteriori
- map estimation
- expectation maximization
- em algorithm
- hyperparameters
- parameter estimation
- bayesian framework
- likelihood function
- gaussian mixture model
- generalized gaussian
- denoising algorithm
- mixture model
- additive noise
- image sequences
- image reconstruction
- image compression
- multiresolution
- computational complexity
- multiscale