On Generalizations of Sampling Theorem and Stability Theorem in Shift-Invariant Subspaces of Lebesgue and Wiener Amalgam Spaces with Mixed-Norms.
Junjian ZhaoMarko KosticWei-Shih DuPublished in: Symmetry (2021)
Keyphrases
- shift invariant
- sampling theorem
- edge preserving
- image restoration
- noise reduction
- rotation invariant
- wavelet domain
- wavelet coefficients
- wiener filter
- discrete wavelet transform
- anisotropic diffusion
- sparse coding
- least squares
- principal component analysis
- high dimensional
- denoising
- high dimensional data
- multiscale
- maximum a posteriori
- blurred images
- image sequences
- multiresolution
- image analysis
- pairwise
- feature space