Image Systems Engineering

In this introduction to digital imaging technologies, learn how software simulation is used to model image systems components and the human visual system. Gain insight into how imaging technologies handle the requirements of complex biological and psychological processes. Explore the basic tools used in digital imaging and image quality measurement and the value of image systems simulations in neuroscience and industrial vision applications. This course will include a project component.

Note: NDO students who only enroll in this course, should take it for three units.

Topics Include

  • Image processing principles
  • Image sensors
  • Basic principles of optics (Snell's Law, diffraction, adaptive optics, light fields)
  • Color science, metrics and calibration
  • Human vision (space, depth, motion)
  • Displays
  • Computational methods

Non-degree option students are required to take this course for 3 units.


Course Page
Price
$1,400.00 - $4,200.00 Subject to change
Delivery
Online, instructor-led
Level
Introductory
Commitment
10 weeks, 3-15 hrs/week
Credit
Visual Computing Graduate Certificate Electrical Engineering Graduate Certificate
School
Stanford School of Humanities and Sciences
Language
English