Adrian Stern
"""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…."" –Optics & Photonics News (May 2017) ""The material contained in the book’s 300 pages substantiate the assertion that the reader ‘will gain a complete introduction to theory, experiment and practical use for reducing hardware, shortening image scanning time and improving image resolution’…. One is confident that this book will contribute to the growth of activity in compressive imaging and is thus appropriate to repeat the appreciation of the efforts of both the editor and the co-authors in assembling this volume."" -Contemporary Physics (Nov 2017), review by K. Alan Shore ""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…."" –Optics & Photonics News (May 2017) ""The material contained in the book’s 300 pages substantiate the assertion that the reader ‘will gain a complete introduction to theory, experiment and practical use for reducing hardware, shortening image scanning time and improving image resolution’…. One is confident that this book will contribute to the growth of activity in compressive imaging and is thus appropriate to repeat the appreciation of the efforts of both the editor and the co-authors in assembling this volume."" -Contemporary Physics (Nov 2017), review by K. Alan Shore"