New Techniques for Preserving Global Structure and Denoising With Low Information Loss in Single-Image Super-Resolution.
Yijie BeiAlexandru DamianShijia HuSachit MenonNikhil RaviCynthia RudinPublished in: CVPR Workshops (2018)
Keyphrases
- information loss
- global structure
- denoising
- single image super resolution
- sparse coding
- natural images
- image denoising
- geometric structure
- image patches
- denoising algorithm
- total variation
- low dimensional
- super resolution
- image processing
- data quality
- noisy images
- endpoints
- wavelet coefficients
- low resolution
- feature space
- tree structure
- feature vectors
- least squares
- high dimensional