Mendlovic Optical Superresolution

Erscheinungsjahr 2012
ISBN: 978-0-387-34715-8
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 91, 255 Seiten, eBook

Reihe: Springer Series in Optical Sciences

This book explores ways to improve the classical resolution limits of an imaging system. Various approaches dealing with exceeding the limita tions of the lens aperture, the pixel's size in the camera, and the noise generated at the detector are presented and analyzed. The book starts by presenting the theoretical foundations and by introducing the back ground and the related terms and then proceeds into the desired system analysis. Despite the fact that the book tends to provide the mathematical background required to follow the presented derivations, it assumes that the reader has acquired a basic knowledge in optical Fourier processing. Ifthis is not the case, we strongly advise using Goodman's book: Intro duction to Fourier Optics as mandatory prereading material. The book is mainly intended for a graduated audience who may be researchers in an academy or engineers in the industry seeking information that may assist them in improving the performance of their electro-optical system design. The last chapter of the book is a more practical chapter that explores several industry-related examples and applications that may use the superresolution techniques in real industrial electro-optical systems. 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.

Zielgruppe

Research

Autoren/Hrsg.

Mendlovic, David

Inhaltsverzeichnis

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.