A Variational Approach with Nonlocal Self-Similarity and Joint-Sparsity for Hyperspectral Image Super-Resolution.
Ting XuTing-Zhu HuangYong ChenJie HuangLiang-Jian DengPublished in: IGARSS (2021)
Keyphrases
- hyperspectral
- image super resolution
- edge preserving
- sparse representation
- remote sensing
- dictionary learning
- super resolution
- image restoration
- hyperspectral images
- multispectral
- infrared
- low resolution
- high resolution
- image data
- maximum a posteriori
- image patches
- hyperspectral data
- natural images
- noise reduction
- satellite images
- kernel regression
- least squares
- spatial resolution
- image registration
- sparse coding
- image reconstruction
- information content
- anisotropic diffusion
- image classification
- image processing
- low resolution images
- high dimensional
- map estimation
- computer vision
- image analysis
- dimension reduction
- feature vectors
- image denoising
- high quality
- dimensionality reduction
- mutual information
- signal processing