Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system.
Sai Gokul HariharanChristian KaethnerNorbert StrobelMarkus KowarschikJulie DiNittoShadi AlbarqouniRebecca FahrigNassir NavabPublished in: Int. J. Comput. Assist. Radiol. Surg. (2019)
Keyphrases
- low rank
- denoising
- convex optimization
- missing data
- matrix factorization
- total variation
- singular value decomposition
- linear combination
- low rank matrix
- image denoising
- matrix completion
- matrix decomposition
- rank minimization
- natural images
- semi supervised
- kernel matrix
- high dimensional data
- high order
- low rank matrices
- trace norm
- image processing
- singular values
- data matrix
- computer vision
- robust principal component analysis
- minimization problems
- non rigid structure from motion
- low rank representation
- low dimensional
- low rank and sparse