Hyperspectral Image Denoising with Collaborative Total Variation and Low Rank Regularization.
Lu YangJinhuan XuLiang XiaoPublished in: IGARSS (2021)
Keyphrases
- total variation
- image denoising
- low rank
- convex optimization
- minimization problems
- regularization methods
- regularization term
- denoising
- total variation regularization
- augmented lagrangian
- inverse problems
- natural images
- noisy images
- mumford shah
- fidelity term
- matrix completion
- image deblurring
- norm minimization
- partial differential equations
- image data
- image processing
- low rank matrix
- wavelet domain
- kernel matrix
- interior point methods
- image restoration
- wavelet coefficients
- matrix factorization
- missing data
- singular value decomposition
- linear combination
- group lasso
- high order
- semi supervised
- primal dual
- machine learning
- structured sparsity
- higher order
- high quality
- image analysis
- regularization parameter
- multiresolution
- optical flow
- frequency domain
- high dimensional data