Supervised Learning of Image Restoration with Convolutional Networks.
Viren JainJoseph F. MurrayFabian RothSrinivas C. TuragaValentin P. ZhigulinKevin L. BriggmanMoritz HelmstaedterWinfried DenkH. Sebastian SeungPublished in: ICCV (2007)
Keyphrases
- image restoration
- supervised learning
- total variation
- edge preserving
- image processing
- super resolution
- image deblurring
- iterative image restoration
- kernel estimation
- regularization parameter
- markov random field
- unsupervised learning
- training data
- motion blur
- blurred images
- image deconvolution
- wiener filter
- training set
- low level vision
- machine learning
- modified hopfield neural network
- degraded images
- semi supervised
- learning algorithm
- regularization method
- point spread function
- restoration algorithm
- adaptive neighborhood
- total least squares
- gaussian noise
- random fields
- markov random field models