• 1 Fourier Transform and Fourier Optics.- 1.1 Fourier Transform and Fourier Optics.- 2 Degrees of Freedom and Wigner Distribution.- 2.1 The Wigner Distribution.- 2.2 The Space Bandwidth Product (SW) as a Tool for Superresolution.- 3 The Concept of Superresolution.- 3.1 What Is Resolution?.- 3.2 Superresolution as SW Adaptation.- 4 Diffractive Superresolution.- 4.1 Superresolution Based on Temporal Constraints.- 4.2 Cyclostationary Gratings for Incoherent Optical Superresolution Systems.- 4.3 The Generalized Wigner Function for Analysis of Superresolution Systems.- 4.4 Superresolution for Objects with Finite Size.- 4.5 Wavelength Multiplexing Superresolution.- 5 Complex Adaptation.- 5.1 Alternative Adaptation Schemes.- 5.2 Novel Techniques for Obtaining Near Field Optical Superresolution.- 6 Geometrical Superresolution.- 6.1 Introduction.- 6.2 Geometrical Resolution.- 6.3 SW—Adaptation for Geometrical Superresolution.- 6.4 Geometrical Superresolution.- 6.5 Digital Superresolution with CDMA.- 7 Noise Equivalent Superresolution.- 7.1 Noise Equivalent Resolution.- 7.2 Relevance to Measured Quantities.- 8 Some Industrial Examples.- 8.1 Superresolving Ability for Detecting Point Targets.- 8.2 Superresolving Ability for Barcode Scanners.- 8.3 The Optimal System for Subwavelength Point Source Localization.

From the reviews:"This book explores the ways to improve the classical resolution limits of an imaging system and provides novel approaches for achieving better results than would otherwise be possible with current imaging technology. … The most important feature of this book is its attempt to address an important subject that has not been addressed before, the subject of resolution and imaging, and to discuss techniques of how to exceed these classical limitations. The book includes novel approaches to deal with exceeding the resolution limits … ." (Yvon Renotte, Physicalia, Vol. 57 (3), 2005)