Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints.
Yanjun LiKiryung LeeYoram BreslerPublished in: IEEE Trans. Inf. Theory (2016)
Keyphrases
- blind deconvolution
- sparsity constraints
- sparse representation
- negative matrix factorization
- high dimensional data
- low rank
- principal component analysis
- total variation
- sparse coding
- image deblurring
- nonnegative matrix factorization
- dimensionality reduction
- low dimensional
- multi frame
- feature space
- blurred images
- point spread function
- map estimation
- high dimensional
- missing data
- image restoration
- co occurrence
- computational complexity
- linear combination
- pairwise