This course examines the fundamental physical and mathematical basis of emerging camera systems. Computational photography uses digital processing to form multidimensional images from diverse measurements. This course begins with a review of forward models for focal and interferometric measurements of random optical fields. The course then considers models for discrete sampling of focal images and calibration of intrinsic and extrinsic camera parameters. Resolution and display of sampled images is also discussed. The course then considers design of multiaperture and dynamic sampling systems for light field imaging. Neural camera control, image estimation and compression strategies are described for diverse sampling systems.
Course Units
3
Instructor(s)
- David Brady