Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework.
Bilge GünselCüneyt GüzelisPublished in: ICIP (1995)
Keyphrases
- image restoration
- regularization parameter
- edge preserving regularization
- cellular neural networks
- edge preserving
- generalized cross validation
- iterative image restoration
- supervised learning
- regularization method
- half quadratic
- image deconvolution
- blind image deconvolution
- markov random field
- image processing
- parameters estimation
- image prior
- wiener filter
- image restoration problems
- tikhonov regularization
- motion blur
- blur identification
- noise variance
- super resolution
- image deblurring
- neural network
- point spread function
- total least squares
- total variation
- restoration method
- machine learning
- degraded images
- similarity measure
- bayesian networks
- hyperparameters
- sufficient conditions
- maximum likelihood