GA image restoration using parameters of degrading and restoring functions as genes.
Tomokazu TamaokiNoboru FunakuboPublished in: Electronic Imaging: Nonlinear Image Processing (1999)
Keyphrases
- image restoration
- regularization parameter
- parameters estimation
- total variation
- super resolution
- genetic algorithm ga
- markov random field
- image processing
- edge preserving
- iterative image restoration
- motion blur
- gaussian noise
- image deblurring
- restoration algorithm
- blurred images
- low level vision
- markov random field models
- modified hopfield neural network
- degraded images
- wiener filter
- regularization method
- high quality
- maximum likelihood
- image restoration problems
- multiscale
- image deconvolution
- blind image restoration
- pairwise
- image segmentation
- adaptive neighborhood
- blur identification
- restoration method
- point spread function
- total least squares
- evolutionary algorithm
- regularization methods
- noise variance
- restored image