An Explicit Solution for Image Restoration using Markov Random Fields.
Martin PleschbergerStefan SchrunnerJürgen PilzPublished in: J. Signal Process. Syst. (2020)
Keyphrases
- image restoration
- total variation
- edge preserving
- tikhonov regularization
- image deblurring
- super resolution
- image processing
- regularization parameter
- low level vision
- motion blur
- modified hopfield neural network
- markov random field models
- point spread function
- blurred images
- wiener filter
- image deconvolution
- markov random field
- regularization method
- restoration algorithm
- blind image restoration
- iterative image restoration
- gauss markov
- degraded images
- image restoration problems
- adaptive neighborhood
- restored image
- high quality