Introduction to the basic theory and techniques of two- and three-dimensional image processing. Topics include image perception, enhancement, restoration, compression, image transforms, tomography, and image understanding. Applications to HDTV, machine vision, medical imaging, etc.
Sample reading list:
Jain, Fundamentals of Digital Image Processing
Gonzalez & Woods, Digital Image Processing
Typical weekly assignments: laboratory, homework.
Mid Term Exam - 25%
Other Exam - 25%
Term Paper(s) - 25%
Problem set(s) - 25%
Not Open to Freshmen.
Prerequisites and Restrictions:
|20525||L01||1:30 pm - 2:50 pm||M W||Engineering Quad B-Wing B205||Enrolled:4 Limit:25|