New Robust Regularized Shrinkage Regression for High-Dimensional Image Recovery and Alignment via Affine Transformation and Tikhonov Regularization.
Habte Tadesse LikassaWen XianXuan TangPublished in: Int. J. Math. Math. Sci. (2020)
Keyphrases
- affine transformation
- image recovery
- tikhonov regularization
- high dimensional
- reproducing kernel hilbert space
- image restoration
- compressive sensing
- regularization parameter
- image registration
- feature points
- image matching
- b spline
- denoising
- similarity search
- least squares
- nearest neighbor
- dimensionality reduction
- low dimensional
- data sets
- face recognition