Hyperspectral Image Denoising Based on Nonlocal Low-Rank and TV Regularization.
Xiangyang KongYongqiang ZhaoJize XueJonathan Cheung-Wai ChanZhigang RenHaiXia HuangJiYuan ZangPublished in: Remote. Sens. (2020)
Keyphrases
- image denoising
- hyperspectral
- low rank
- rank minimization
- total variation
- convex optimization
- minimization problems
- denoising
- remote sensing
- regularization term
- natural images
- image processing
- noisy images
- missing data
- multispectral
- matrix factorization
- linear combination
- partial differential equations
- image data
- matrix completion
- wavelet domain
- semi supervised
- high order
- high dimensional data
- kernel matrix
- singular value decomposition
- wavelet coefficients
- norm minimization
- mumford shah
- multiscale
- interior point methods
- image deblurring
- regularization parameter
- object recognition
- optical flow
- nearest neighbor