Login / Signup
Compressed sensing for inverse problems and the sample complexity of the sparse Radon transform.
Giovanni S. Alberti
Alessandro Felisi
Matteo Santacesaria
S. Ivan Trapasso
Published in:
CoRR (2023)
Keyphrases
</>
compressed sensing
image reconstruction
radon transform
inverse problems
super resolution
random projections
image quality
low resolution
image restoration
neural network
image processing
similarity measure
pairwise
principal component analysis
fourier domain