Impulse noise removal by spectral clustering and regularization on graphs.
Olivier LezorayVinh-Thong TaAbderrahim ElmoatazPublished in: ICPR (2008)
Keyphrases
- spectral clustering
- impulse noise removal
- graph partitioning
- anisotropic diffusion
- spectral methods
- image deblurring
- graph laplacian
- clustering method
- data clustering
- total variation
- pairwise
- image segmentation
- mumford shah
- k means
- impulsive noise
- similarity matrix
- heat kernel
- graph matching
- impulse noise
- edge preserving
- clustering algorithm
- normalized cut
- edge detection
- image processing
- noise removal
- weighted graph
- computer vision
- graph structure
- natural images
- high dimensional