GCV and ML Methods of Determining Parameters in Image Restoration by Regularization: Fast Computation in the Spatial Domain and Experimental Comparison.
Natalie FortierGuy DemomentYves GoussardPublished in: J. Vis. Commun. Image Represent. (1993)
Keyphrases
- image restoration
- regularization parameter
- experimental comparison
- spatial domain
- regularization method
- regularization methods
- total variation
- blurred images
- generalized cross validation
- cross validation
- iterative image restoration
- image restoration problems
- edge preserving
- maximum likelihood
- wavelet domain
- super resolution
- image deconvolution
- blur identification
- additive noise
- point spread function
- image deblurring
- markov random field
- modified hopfield neural network
- gaussian noise
- image processing
- image segmentation