A Constrained Convex Optimization Approach to Hyperspectral Image Restoration with Hybrid Spatio-Spectral Regularization.
Saori TakeyamaShunsuke OnoItsuo KumazawaPublished in: Remote. Sens. (2020)
Keyphrases
- convex optimization
- hyperspectral
- image restoration
- total variation
- regularization parameter
- regularization methods
- regularization term
- minimization problems
- color image restoration
- regularization method
- inverse problems
- hyperspectral images
- remote sensing
- blind deconvolution
- hyperspectral imagery
- infrared
- hyperspectral data
- multispectral
- image processing
- interior point methods
- edge preserving
- image data
- mumford shah
- low rank
- image deblurring
- primal dual
- blurred images
- super resolution
- satellite images
- markov random field
- spatial resolution
- image denoising
- denoising
- motion blur
- convex relaxation
- point spread function
- multiscale
- image segmentation
- machine learning