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Full 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.
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.
