DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
Course Description: Mathematical foundations of digital image processing. Linear and nonlinear filtering, sampling, Fourier and Wavelet transforms. Image analysis and computer vision. 4 units.
Prerequisites: Linear Algebra and Calculus.
The instructor is Serge Belongie, Assistant Professor. Office Hours: TuW 4-5pm, EBU3b 4118.
Note: when emailing me with questions about the class, please put ``cse166'' in the subject line or use the following address:
Cameron Chrisman (Discussion Section: M 2-2:50pm, Peterson 104; Office Hours: TuTh 10:00am-11:00am, EBU3b B240A.)
Click here to access the GradeSource portal to track your progress and see course announcements.
The class section id for CSE 166 is #537718. Lecture: TuTh 11:00am-12:20pm,
Center Hall 222 HSS 1128A.
Grading and Course Policies
Topics to be Covered:1. mathematical foundations
This course makes extensive use of Matlab. Click here for information on Matlab, including usage on UCSD instructional accounts, tutorials, and documentation.
|Digital Image Processing, 2nd Edition|
Gonzalez & Woods
ISBN no. 0201180758
Digital Image Processing Using MATLAB by Gonzalez, Woods, and Eddins.Handy Math reference:
Fundamentals of Image Processing by Hany Farid
Digital Image Processing by Bernd Jähne
Fundamentals of Digital Image Processing by A.K. Jain
Digital Image Processing by W. K. Pratt
Most recently updated on May 21, 2005 by Serge Belongie.