The article addresses the problem of image sampling with minimal possible sampling rates and reviews the recent advances in sampling theory and methods: modern formulations of the sampling theorems, potentials and limitations of Compressed sensing methods and a practical method of image sampling and reconstruction with sampling rates close to the theoretical minimum.
@article{arxiv.2110.08831,
title = {The General sampling theorem, Compressed sensing and a method of image sampling and reconstruction with sampling rates close to the theoretical limit},
author = {L. Yaroslavsky},
journal= {arXiv preprint arXiv:2110.08831},
year = {2021}
}