Course Catalog - 2019-2020

     

ELEC 579 - COMPUTATIONAL IMAGING

Long Title: COMPUTATIONAL IMAGING
Department: Electrical & Computer Eng.
Grade Mode: Standard Letter
Course Type: Lecture
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Description: A graduate-level introduction to imaging systems as an integral part of the sense-process-decide-act cycle. This cycle is central to the operation of any goal-directed system, biological or engineered. Students will gain a basic understanding of the mechanisms by which information about a scene is encoded on an electro-magnetic wave. Furthermore, the students will learn to analyze the information extraction process realized via the imaging chain of front-end optics, transduction, and post-processing. The objective of the course is to understand the limits of modern image formation and how optics, photonic-to-electronic transduction, and post-detection processing can be jointly designed to enable imagers with unique capabilities. Additional coursework required beyond the undergraduate course requirements. Graduate/Undergraduate Equivalency: ELEC 441.