Theoretical Foundation for Nonlinear Edge-Preserving Regularized Learning Image Restoration.
Dianhui WangTharam S. DillonPublished in: Australian Joint Conference on Artificial Intelligence (2002)
Keyphrases
- expectation maximization
- image restoration
- edge preserving
- theoretical foundation
- image restoration problems
- total variation
- regularization method
- edge preserving regularization
- half quadratic
- regularization methods
- noise reduction
- markov random field
- anisotropic diffusion
- image segmentation
- nonlinear diffusion
- super resolution
- least squares
- image processing
- theoretical framework
- image deconvolution
- regularization parameter
- blurred images
- image deblurring
- gaussian markov random field
- motion blur
- gaussian noise
- shift invariant
- degraded images
- restored image
- higher order