The author has created a very accessible introductory reference for Fourier optics and computational imaging. Researchers and graduate students who are actively involved in Fourier optics and imaging research should also benefit from this book.

This reference provides the readership with a solid coverage of geometric and Fourier optics, including diffraction phenomena, coherence and polarization, as well as analysis of optical systems. Furthermore, the author covers a wide range of computational aspects for imaging within the context of digital holography, phase retrieval algorithms and multi-lens systems.

In particular, readers might be interested in image reconstruction techniques from projected data as well as ghost imaging techniques.

This highly recommended text will also help readers understand how to integrate constraint optimization algorithms and stochastic methods into novel efficient algorithms for advanced imaging technology.

Review by Axel Mainzer Koenig, CEO, 21st Century Data Analysis, USA

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