An efficient video denoising method using decomposition approach for low-rank matrix completion.
Nafise BarzigarAminmohammad RoozgardSamuel ChengPramode K. VermaPublished in: ACSCC (2012)
Keyphrases
- matrix completion
- low rank
- denoising
- convex optimization
- missing data
- linear combination
- image denoising
- matrix factorization
- singular value decomposition
- low rank matrix
- tensor decomposition
- high order
- rank minimization
- semi supervised
- video sequences
- high dimensional data
- singular values
- norm minimization
- video frames
- low rank matrices
- kernel matrix
- noisy images
- collaborative filtering
- data sets
- trace norm
- convex relaxation
- incomplete data
- similarity measure
- feature selection
- machine learning