Theory of Image Formation

by Richard E. Blahut

Overview

Fully revised and updated, the second edition of this classic text is the definitive guide to the mathematical models underlying imaging from sensed data. Building on fundamental principles derived from the two- and three-dimensional Fourier transform, and other key mathematical concepts, it introduces a broad range of imaging modalities within a unified framework, emphasising universal theoretical concepts over specific physical aspects. This expanded edition presents new coverage of optical-coherence microscopy, electron-beam microscopy, near-field microscopy, and medical imaging modalities including MRI, CAT, ultrasound, and the imaging of viruses, and introduces additional end-of-chapter problems to support reader understanding. Encapsulating the author's fifty years of experience in the field, this is the ideal introduction for senior undergraduate and graduate students, academic researchers, and professional engineers across engineering and the physical sciences.

Product Details

ISBN-13:	9781009356206
Publisher:	Cambridge University Press
Publication date:	04/24/2025
Edition description:	2nd ed.
Pages:	639
Product dimensions:	6.89(w) x 9.80(h) x 1.50(d)

About the Author

Richard E. Blahut is the Emeritus Henry Magnuski Professor in the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign, having served as the Department Head from 2001 to 2008. He has authored a series of advanced textbooks on the mathematical aspects of theoretical informatics, is a member of the US National Academy of Engineering, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).

Table of Contents

1. Introduction; 2. Signals in one dimension; 3. Signals in two dimensions; 4. Optical imaging systems; 5. Apertures and radiation patterns; 6. Tomographic imaging systems; 7. Construction and reconstruction of images; 8. Likelihood and information methods; 9. Diffraction imaging systems; 10. The Woodward ambiguity function; 11. Radar imaging systems; 12. Radar search systems; 13. Passive and baseband systems; 14. Data combination and tracking; 15. Phase noise and phase distortion.