Hyperspectral Image Denoising via $L_{0}$ Regularized Low-Rank Tucker Decomposition.
Xin TianKun XieHanling ZhangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- image denoising
- hyperspectral
- low rank
- tensor decomposition
- trace norm
- total variation
- convex optimization
- denoising
- remote sensing
- multispectral
- infrared
- linear combination
- natural images
- missing data
- noisy images
- image processing
- high order
- matrix factorization
- low rank matrix
- image data
- singular value decomposition
- spatial resolution
- matrix completion
- wavelet domain
- semi supervised
- high dimensional data
- norm minimization
- least squares
- minimization problems
- wavelet coefficients
- higher order
- image analysis
- high resolution
- high quality
- frequency domain
- signal processing
- collaborative filtering
- pairwise
- object recognition
- pattern recognition