Cortical-inspired image reconstruction via sub-Riemannian geometry and hypoelliptic diffusion.
Ugo V. BoscainRoman A. ChertovskihJean-Paul GauthierDario PrandiAlexey RemizovPublished in: CoRR (2018)
Keyphrases
- image reconstruction
- reconstructed image
- information geometry
- tensor field
- geodesic distance
- super resolution
- inverse problems
- emission computed tomography
- compressed sensing
- three dimensional
- reconstruction method
- radon transform
- anisotropic diffusion
- zernike moments
- riemannian manifolds
- affine invariant
- emission tomography
- sparsely sampled
- reconstruction process
- manifold learning
- shape analysis