  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.
