Computational Optical Imaging by David J Brady

Computational Optical Imaging by David J Brady

Computational optical imaging uses electromagnetic signals in the infrared, visible, ultraviolet, and x-ray wavelength ranges to characterize remote objects. This text explains how to create mathematical forward models describing tomographic, holographic, ptychographic, and photographic imaging systems. It describes image estimation algorithms, including those that use artificial neural networks and nonlinear estimators, to estimate still, video, and spectral images from measured data. The text considers geometric, diffractive, and statistical optical radiation models. It shows that advanced sensing and estimation strategies allow optical imagers to resolve targets with resolution exceeding conventional limits. It also considers how to maximize measurement efficiency and imager capacity using coded and feature-specific sampling and physical system design. Details not found in previous textbooks include coding strategies for compressive tomography, phase curvature in coherent imaging systems, the coherence transfer function, and interferometric focal planes. The last part of the book discusses digital camera design, including sampling optimization for photographic and video imaging and array camera design. This book focuses particularly on deep physical modeling of optical systems and algorithms. It aims to fill the gap between detector design and high-level image processing and to give readers the tools to design end-to-end imaging systems.

SKU	Unavailable
ISBN 13	9781510688919
ISBN 10	1510688919
Title	Computational Optical Imaging
Author	David J Brady
Series	Press Monographs
Condition	Unavailable
Binding Type	Paperback
Publisher	SPIE Press
Year published	2025-12-31
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.