This is the book on how to bypass the sampling constraints of modern imaging systems. From a mathematical point of view, it deals with the problem of extracting information from an underdetermined system of equations. It is wide in its scope, covering applications ranging from holography and microscopy, to hyperspectral or polarization imaging. Readers can easily find out what can be done with this kind of imaging, but not exactly how to do it. However, it is very up to date with numerous references, which can be used to resolve practical issues of implementing compressive sensing algorithms.
Review by Dejan Pantelić, Institute of Physics Belgrade, Serbia.

The opinions expressed in the book review section are those of the reviewer and do not necessarily reflect those of OPN or OSA.