Hyperspectral pan-sharpening: a variational convex constrained formulation to impose parallel level lines, solved with ADMM.
Alexis HuckFrançois de VieillevillePierre WeissManuel GrizonnetPublished in: CoRR (2014)
Keyphrases
- hyperspectral
- augmented lagrangian method
- level lines
- total variation regularization
- convex optimization
- alternating direction method of multipliers
- hyperspectral images
- total variation
- remote sensing
- variational framework
- infrared
- multispectral
- hyperspectral imagery
- image denoising
- augmented lagrangian
- convex relaxation
- level set
- image inpainting
- target detection
- hyperspectral data
- image data
- denoising
- hyperspectral remote sensing
- image deblurring
- satellite images
- information content
- image restoration
- energy functional
- gray level
- image segmentation
- variational methods
- connected components
- edge detection
- multiscale
- light field
- image enhancement
- natural images
- optical flow
- image processing