Variational Bayes Color Deconvolution with a Total Variation Prior.
Miguel VegaJavier MateosRafael MolinaAggelos K. KatsaggelosPublished in: EUSIPCO (2019)
Keyphrases
- total variation
- variational bayes
- image restoration
- denoising
- blind deconvolution
- image deblurring
- hyperparameters
- image denoising
- bayesian inference
- latent variables
- prior information
- image processing
- maximum a posteriori
- gaussian mixture model
- regularization term
- bayesian framework
- exponential family
- posterior distribution
- noisy images
- prior knowledge
- markov random field
- blurred images
- super resolution
- random sampling
- closed form
- natural images
- least squares
- model selection
- motion blur
- probabilistic model
- image enhancement
- image reconstruction
- gaussian process
- expectation maximization
- probability distribution
- objective function
- multiscale