Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery (iTWIST'20).
Martin GenzelMaximilian MärzRobert SeidelPublished in: CoRR (2020)
Keyphrases
- total variation
- compressed sensing
- sample complexity
- image denoising
- natural images
- denoising
- image reconstruction
- image restoration
- learning problems
- upper bound
- learning algorithm
- lower bound
- sparse representation
- random projections
- supervised learning
- special case
- active learning
- image processing
- noisy images
- signal processing
- super resolution
- higher order
- computer vision
- sample size
- data sets
- learning tasks