Matrix forms of iterative algorithms to solve large-scale discrete ill-posed problems with an application to image restoration.
Fernando Agustin PazosAmit BhayaPublished in: J. Appl. Math. Comput. (2019)
Keyphrases
- image restoration
- iterative algorithms
- alternating minimization algorithm
- total variation
- super resolution
- image processing
- regularization parameter
- edge preserving
- low rank approximation
- image deblurring
- degraded images
- regularization method
- markov random field
- iterative image restoration
- lagrange multipliers
- blind image restoration
- wiener filter
- image deconvolution
- restoration algorithm
- image restoration problems
- adaptive neighborhood
- iterative methods
- modified hopfield neural network
- noise reduction
- image sequences
- total variation minimization
- optical flow
- positive definite
- machine learning
- higher order
- point spread function
- blurred images
- image reconstruction
- low rank