Optical Imaging and Spectroscopy establishes the analytical framework of the emerging discipline of computational imaging. The text explains how to construct system models for diverse optical designs and how to use these system models to quantify performance metrics. Such models are essential to the analysis and design of digital imaging and spectroscopy systems. The text includes: direct and simple exposition of the interface between continuous fields and discrete representations, including wavelet analysis, discretization on focal planes, multiplex measurement and compressive sampling; straightforward integration of statistical and Fourier analysis, including the van Cittert Zernike theorem, coherence and projection tomography and the constant radiance theorem; and, integrated consideration of imaging and spectroscopy in development of general tools for optical sensor design, including analyses of recent advances in wavefront coding and coded aperture spectroscopy.
Optical Imaging and Spectroscopy is particularly groundbreaking in its coverage of practical strategies for coherence measurement, multidimensional coherence analysis, generalized radiance analysis, regularization and nonlinear signal estimation. The text concludes by applying physical and analytic models developed in earlier chapters in a spectroscopy chapter surveying the current status and design limits of dispersive, interferometric, resonant and metamaterial-based systems and in an imaging chapter exploring extended depth of field, optical and digital superresolution and spectral imaging. The text includes numerous exercises, with an emphasis on practical computational analysis using code provided online. With the continuing development of integrated sensing and processing design strategies, Optical Imaging and Spectroscopy , is an essential textbook and reference manual for scientists and engineers that use or design optical systems.
