Machine learning deconvolution filter kernels for image restoration.
Pradip MainaliRimmert WittebroodPublished in: Computational Imaging (2015)
Keyphrases
- image restoration
- machine learning
- wiener filter
- restored image
- gauss markov
- filter design
- total variation
- image deconvolution
- edge preserving
- modified hopfield neural network
- kernel methods
- blurred images
- point spread function
- degraded images
- image deblurring
- markov random field
- image processing
- super resolution
- motion blur
- regularization parameter
- noise reduction
- image restoration problems
- restoration method
- linear shift invariant
- total least squares
- kernel function
- kernel estimation
- regularization method
- restoration algorithm
- noise variance
- support vector
- blind image deconvolution
- optical flow
- linear combination
- feature selection
- computer vision
- iterative image restoration
- fir filters
- model selection