Towards Perceptually Plausible Training of Image Restoration Neural Networks.
Ali AkPatrick Le CalletPublished in: IPTA (2019)
Keyphrases
- image restoration
- neural network
- total variation
- edge preserving
- super resolution
- image processing
- markov random field
- blur identification
- image deblurring
- iterative image restoration
- degraded images
- blurred images
- restoration algorithm
- regularization method
- low level vision
- total least squares
- image deconvolution
- gaussian noise
- regularization parameter
- restoration method
- modified hopfield neural network
- wiener filter
- motion blur
- point spread function
- adaptive neighborhood
- image restoration problems
- high resolution
- image prior
- blind deconvolution
- kernel estimation
- mathematical morphology
- markov random field models
- support vector