Optical Imaging and Spectroscopy

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Release Year
2009
Book Title
Optical Imaging and Spectroscopy
ISBN
9780470048238
Subject Area
Technology & Engineering, Science
Publication Name
Optical Imaging and Spectroscopy
Publisher
Wiley & Sons, Incorporated, John
Item Length
9.6 in
Subject
Spectroscopy & Spectrum Analysis, Physics / Optics & Light, Imaging Systems
Publication Year
2009
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.2 in
Author
David J. Brady
Item Weight
29.8 Oz
Item Width
6.4 in
Number of Pages
528 Pages
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470048239
ISBN-13
9780470048238
eBay Product ID (ePID)
70410441

Product Key Features

Number of Pages
528 Pages
Publication Name
Optical Imaging and Spectroscopy
Language
English
Publication Year
2009
Subject
Spectroscopy & Spectrum Analysis, Physics / Optics & Light, Imaging Systems
Type
Textbook
Subject Area
Technology & Engineering, Science
Author
David J. Brady
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
29.8 Oz
Item Length
9.6 in
Item Width
6.4 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2008-036200
Dewey Edition
22
Reviews
'Designed for advanced undergraduate and graduate courses in optical sensor design, and as a reference for sensor designers in radio and millimeter wave, X- ray, and acoustic systems, Brady's is the first text to present an integrated view of the optical and mathematical analysis tools necessary to understand computational optical system design.' ( Book News , September 2009), ?Designed for advanced undergraduate and graduate courses in optical sensor design, and as a reference for sensor designers in radio and millimeter wave, X- ray, and acoustic systems, Brady's is the first text to present an integrated view of the optical and mathematical analysis tools necessary to understand computational optical system design.? ( Book News , September 2009)
Illustrated
Yes
Dewey Decimal
621.36
Table Of Content
Preface. Acknowledgments. 1. Past, present and future. 1.1 Three revolutions. 1.2 Computational imaging. 1.3 Overview. 1.4 The fourth revolution. Problems. 2. Geometric imaging. 2.1 Visibility. 2.2 Optical elements. 2.3 Focal imaging. 2.4 Imaging systems. 2.5 Pinhole and coded aperture imaging. 2.6 Projection tomography. 2.7 Reference structure tomography. Problems. 3. Analysis. 3.1 Analytical tools. 3.2 Fields and transformations. 3.3 Fourier analysis. 3.4 Transfer functions and filters. 3.5 The Fresnel transformation. 3.6 The Whittaker-Shannon sampling theorem. 3.7 Discrete analysis of linear transformations. 3.8 Multiscale sampling. 3.9 B-splines. 3.10 Wavelets. Problems. 4. Wave imaging. 4.1 Waves and fields. 4.2 Wave model for optical fields. 4.3 Wave propagation. 4.4 Diffraction. 4.5 Wave analysis of optical elements. 4.6 Wave propagation through thin lenses. 4.7 Fourier analysis of wave imaging. 4.8 Holography. Problems. 5. Detection. 5.1 The Optoelectronic interface. 5.2 Quantum mechanics of optical detection. 5.3 Optoelectronic detectors. 5.3.1 Photoconductive detectors. 5.3.2 Photodiodes. 5.4 Physical characteristics of optical detectors. 5.5 Noise. 5.6 Charge coupled devices. 5.7 Active pixel sensors. 5.8 Infrared focal plane arrays. Problems. 6. Coherence imaging. 6.1 Coherence and spectral fields. 6.2 Coherence propagation. 6.3 Measuring coherence. 6.4 Fourier analysis of coherence imaging. 6.5 Optical coherence tomography. 6.6 Modal analysis. 6.7 Radiometry. Problems. 7. Sampling. 7.1 Samples and pixels. 7.2 Image plane sampling on electronic detector arrays. 7.3 Color imaging. 7.4 Practical sampling models. 7.5 Generalized sampling. Problems. 8. Coding and inverse problems. 8.1 Coding taxonomy. 8.2 Pixel coding. 8.3 Convolutional coding. 8.4 Implicit coding. 8.5 Inverse problems. Problems. 9. Spectroscopy. 9.1 Spectral measurements. 9.2 Spatially dispersive spectroscopy. 9.3 Coded aperture spectroscopy. 9.4 Interferometric Spectroscopy. 9.5 Resonant spectroscopy. 9.6 Spectroscopic filters. 9.7 Tunable filters. 9.8 2D spectroscopy. Problems. 10. Computational imaging. 10.1 Imaging systems. 10.2 Depth of field. 10.3 Resolution. 10.4 Multiple aperture imaging. 10.5 Generalized sampling revisited. 10.6 Spectral imaging. Problems. References.
Synopsis
Optical Imaging and Spectroscopy covers the conceptual basis of optical sensor design. The authors objective in writing Optical Imaging and Spectroscopy is to communicate a novel approach of optical system design to students and to the imaging and spectroscopy research and development community., An essential reference for optical sensor system design This is the first text to present an integrated view of the optical and mathematical analysis tools necessary to understand computational optical system design. It presents the foundations of computational optical sensor design with a focus entirely on digital imaging and spectroscopy. It systematically covers: Coded aperture and tomographic imaging Sampling and transformations in optical systems, including wavelets and generalized sampling techniques essential to digital system analysis Geometric, wave, and statistical models of optical fields The basic function of modern optical detectors and focal plane arrays Practical strategies for coherence measurement in imaging system design The sampling theory of digital imaging and spectroscopy for both conventional and emerging compressive and generalized measurement strategies Measurement code design Linear and nonlinear signal estimation The book concludes with a review of numerous design strategies in spectroscopy and imaging and clearly outlines the benefits and limits of each approach, including coded aperture and imaging spectroscopy, resonant and filter-based systems, and integrated design strategies to improve image resolution, depth of field, and field of view. Optical Imaging and Spectroscopy is an indispensable textbook for advanced undergraduate and graduate courses in optical sensor design. In addition to its direct applicability to optical system design, unique perspectives on computational sensor design presented in the text will be of interest for sensor designers in radio and millimeter wave, X-ray, and acoustic systems.
LC Classification Number
QC454.O66B73 2009

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