Stochastic Image Denoising by Sampling from the Posterior Distribution.
Bahjat KawarGregory VaksmanMichael EladPublished in: ICCVW (2021)
Keyphrases
- image denoising
- posterior distribution
- metropolis hastings
- denoising
- markov chain monte carlo
- gibbs sampler
- probability distribution
- noisy images
- parameter estimation
- natural images
- latent variables
- hyperparameters
- markov chain monte carlo methods
- bayesian framework
- noise level
- prior distribution
- wavelet coefficients
- posterior probability
- image processing
- maximum a posteriori
- sampling algorithm
- particle filtering
- gaussian distribution
- prior model
- maximum likelihood
- expectation maximization
- multiresolution
- image segmentation
- conditional probabilities
- markov random field
- least squares
- prior knowledge
- cross validation
- multiscale