DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
UNIVERSITY OF CALIFORNIA, SAN DIEGO

CSE 166: Image Processing

Fall 2004
 

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: Tu 4-5pm, W 4-5pm, AP&M room 4832.

Note: when emailing me with questions about the class, please put ``cse166'' in the subject line or use the following address:
sjb+cse166 cs.ucsd.edu

Teaching Assistant:
Piotr Dollar (Discussion Section: M 2-2:50pm, HSS 1330; Office Hours: Tu 3:30-4:30pm, 6307C EBU-1)
E-mail: pdollar+cse166 cs.ucsd.edu

Click here to access the GradeSource portal to track your progress and see course announcements.

The class section id for CSE 166 is #507385. Lecture: TuTh 11:00am-12:20pm, Center Hall 212.

Grading and Course Policies

Topics to be Covered:

1. mathematical foundations
2. discrete-time signals and systems
3. linear time-invariant systems
4. linear filtering
5. nonlinear filtering
6. lossless and lossy compression
7. pattern recognition

This course makes extensive use of Matlab. Click here for information on Matlab, including usage on UCSD instructional accounts, tutorials, and documentation.

Handouts:

Links:

Required textbook:

book cover

 Digital Image Processing, 2nd Edition
Gonzalez & Woods
Prentice Hall
ISBN no. 0201180758
textbook website

Relevant non-required textbooks:
Digital Image Processing Using MATLAB by Gonzalez, Woods, and Eddins.
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

Handy Math reference:
MathWorld

Most recently updated on Aug. 31, 2004 by Serge Belongie.