Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising.
Jing GuoYu GuoQiyu JinMichael Kwok-Po NgShuping WangPublished in: SIAM J. Imaging Sci. (2022)
Keyphrases
- collaborative filtering
- image denoising
- low rank
- mixture model
- matrix factorization
- covariance matrix
- covariance matrices
- gaussian mixture model
- gaussian mixture
- minimization problems
- maximum likelihood
- denoising
- total variation
- natural images
- em algorithm
- objective function
- image patches
- noisy images
- low rank matrix
- expectation maximization
- convex optimization
- image processing
- sample size
- principal component analysis
- wavelet coefficients
- generative model
- density estimation
- probabilistic model
- model selection
- kernel matrix
- partial differential equations
- probability density function
- unsupervised learning
- language model
- missing data
- gaussian distribution
- linear combination
- gaussian noise
- background subtraction
- semi supervised
- distance measure
- wavelet transform
- singular value decomposition
- high order
- high dimensional data
- pattern recognition
- multiscale
- machine learning