Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration.
Wei HeHongyan ZhangLiangpei ZhangHuanfeng ShenPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- image restoration
- hyperspectral
- total variation
- total least squares
- regularization method
- regularization methods
- half quadratic
- remote sensing
- restored image
- edge preserving
- image restoration problems
- image processing
- image data
- convex optimization
- regularization parameter
- super resolution
- markov random field
- total variation minimization
- regularization term
- image deblurring
- blind deconvolution
- blurred images
- least squares
- color image restoration
- low rank
- matrix factorization
- iterative image restoration
- point spread function
- regularized least squares
- feature extraction
- image reconstruction
- linear combination
- higher order
- image analysis