Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging.
Tao HuangWeisheng DongXin YuanJinjian WuGuangming ShiPublished in: CoRR (2021)
Keyphrases
- gaussian distribution
- gaussian mixture model
- spectral resolution
- gaussian mixture
- gaussian model
- gaussian densities
- mixture model
- maximum likelihood
- mixture distributions
- image analysis
- scale space
- mixture distribution
- covariance matrices
- heavy tailed distributions
- compressive sensing
- dirichlet distribution
- scale parameter
- expectation maximization
- maximum a posteriori
- medical imaging
- zero crossing
- mixture of gaussians
- computer vision
- multivariate gaussian
- prior knowledge
- dirichlet process
- density function
- generalized gaussian
- multispectral images
- sparse representation
- unsupervised learning
- denoising
- image features
- high resolution
- face recognition
- image segmentation