Bayesian Formulations for Graph Spectral Denoising.
Samuel LeoneXingzhi SunMichael PerlmutterSmita KrishnaswamyPublished in: CoRR (2023)
Keyphrases
- denoising
- image denoising
- spectral decomposition
- natural images
- normalized cut
- noisy images
- denoising algorithm
- graph representation
- directed graph
- graph structure
- total variation
- graph theory
- spectral analysis
- noise removal
- graph model
- bayesian networks
- wavelet domain
- graph matching
- structured data
- random walk
- spectral methods
- laplacian matrix
- weighted graph
- posterior probability
- frequency domain
- bayesian decision
- hyperspectral
- edge weights
- graph partitioning
- undirected graph
- graph databases
- bipartite graph
- optimization methods
- edge detection
- objective function