Instructor: Professor Jeff Fessler
This course covers the fundamentals of imaging and image processing. Topics will include image formation, sampling, interpolation, representation, enhancement, restoration, analysis, and compression.
This course uses an engaged learning format where students read the course material outside of class and class time is spent on team problem solving, inquiry-based learning, and interactive activities.
In lieu of a final exam, students will work in small groups on image processing projects that apply the tools learned in the course as well as using ideas from the contemporary literature.
None required. Detailed lecture notes are provided. Several references on reserve at library.
Non-statistical image processing
Statistical image processing