
Theory of Image Formation
Richard E. Blahut(Author)
Cambridge University Press
2nd Edition
Published on 24. April 2025
Book
Hardback
639 pages
978-1-009-35620-6 (ISBN)
Description
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.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
Worked examples or Exercises
Dimensions
Height: 250 mm
Width: 175 mm
Thickness: 39 mm
Weight
1267 gr
ISBN-13
978-1-009-35620-6 (9781009356206)
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Schweitzer Classification
Other editions
Previous edition

Richard E. Blahut
Theory of Remote Image Formation
Book
11/2004
Cambridge University Press
€169.60
Article exhausted; check for reprint
Person
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).
Content
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.