Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints.
Yanjun LiKiryung LeeYoram BreslerPublished in: CoRR (2015)
Keyphrases
- blind deconvolution
- sparsity constraints
- sparse representation
- negative matrix factorization
- total variation
- sparse coding
- low rank
- high dimensional data
- low dimensional
- nonnegative matrix factorization
- principal component analysis
- image deblurring
- dimensionality reduction
- point spread function
- map estimation
- multi frame
- bayesian framework
- high dimensional
- convex optimization
- feature space
- blurred images
- feature selection
- feature extraction
- image restoration
- single image
- generative model
- image classification