Image Restoration Based on 3-D Autoregressive Model via Low-Rank Minimization.
Mading LiJiaying LiuYu GuanZongming GuoPublished in: DCC (2015)
Keyphrases
- image restoration
- low rank
- autoregressive model
- minimization problems
- total variation
- convex optimization
- regularization term
- missing data
- linear combination
- matrix factorization
- semi supervised
- autoregressive
- singular value decomposition
- image processing
- super resolution
- markov random field
- wavelet domain
- high order
- regularization parameter
- high dimensional data
- non stationary
- wavelet coefficients
- blurred images
- image denoising
- neural network
- similarity measure
- interior point methods
- object recognition
- least squares
- random fields
- denoising