A holographic system can fail even when every individual formula looks correct. A recording may violate sensor sampling limits. A reconstruction may use the wrong propagation regime. A fast hologram algorithm may produce a field the display hardware cannot reproduce. A wider viewing target may be defeated by coherence, speckle, eyebox, field of view, or optical information limits.
This book connects those problems into one engineering pathway.
Starting with wave behavior, diffraction, coherence, and interference, it builds the foundation for recording and reconstructing complex optical fields. It then moves through digital sensors, sampling and noise, numerical propagation, refocusing, phase recovery, and quantitative phase imaging before reversing the problem: computing the hologram required to reproduce a desired three-dimensional scene.
Readers will learn how to:
Worked examples and practice problems keep the emphasis on engineering judgment. Calculations are used to test whether an assumption is physically valid, whether an algorithm is computationally feasible, and whether a subsystem remains compatible with the hardware around it. Across the book, the same design discipline recurs: fundamental limits remain binding, independent costs can compound, and every technique trades one constraint for another.
The book is intended for upper-level engineering students, graduate students, researchers entering optical or computational imaging, and practicing engineers who are comfortable with vector calculus and frequency-domain analysis but do not require prior specialist training in holography.
If you need a structured resource that carries the subject from optical foundations through computational hologram generation to complete display-system decisions, begin here and study the field as the connected engineering problem it really is.
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