Jorge Ojeda-Castaneda – författare

A comprehensive cross section of phase-space optics

This definitive volume highlights an elegant, unified approach to optical rays, waves, and system design using cutting-edge phase-space techniques. Phase-Space Optics: Fundamentals and Applications details theoretical concepts of phase space as well as novel engineering applications in specific disciplines. This authoritative guide includes full coverage of sampling, superresolution imaging, and the phase-space interpretation of ultrafast optics. Work with Wigner optics, analyze phase-space equations, develop wave propagation models, and gain a new understanding of optical sources and systems. Discover how to:

Describe optical phenomena using Wigner and ambiguity functionsPerform phase-space rotations using ray transformation matricesInfluence the trade-off between pupil size and depth of fieldAnalyze and design optical signals using the Radon-Wigner transformAccomplish superresolution by squeezing phase spaceInterpret the intimate relationship between radiometry and coherenceUse basic algebra to discover self-imaging, Fresnel diffraction, and the Talbot effectDevelop discrete models, sampling criteria, and interpolation formulaeWork with ultrafast processes and complex space-time structures

This book presents a simple, yet comprehensive, treatment of the basic principles and applications of novel phase masks and non-uniform optical windows under the increasingly popular umbrella term “pupil engineering.” It discusses current research topics in the areas of phase-space representations for engineering imaging devices with extended depth of field, as well as sparse optical sensing and emergent phenomena such as vortices and singularities, highlighting the heuristic applications of key concepts in novel models and their graphic representations. The book is appealing to anyone interested in robotic vision and is a valuable resource for upper-level students, teachers, scientists, and engineers in the field of image science, lasers, and digital image processing.