A MCMC approach for Bayesian super-resolution image reconstruction.
Jing TianKai-Kuang MaPublished in: ICIP (1) (2005)
Keyphrases
- super resolution image reconstruction
- posterior distribution
- markov chain monte carlo
- posterior probability
- multi frame
- super resolution
- bayesian inference
- low resolution images
- markov chain
- monte carlo
- high resolution
- generative model
- super resolution reconstruction
- bayesian networks
- probability distribution
- parameter estimation
- bayesian framework
- low resolution
- particle filter
- image sequences
- latent variables
- expectation maximization
- approximate inference
- motion estimation
- spatio temporal
- feature space
- high quality
- image processing
- metropolis hastings algorithm