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

CSE 166: Image Processing

Fall 2003
 

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: MTu 4-5pm, in 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 Assistants:
Piotr Dollar (Discussion Section: W 2:00p - 2:50p, PETER 104 Tue. 3:00p-3:50p, York Hall 4080A; Office Hours: Tue. 2:00p - 2:50p, 4839 AP&M)
E-mail: pdollar+cse166 cs.ucsd.edu
Sameer Agarwal (Discussion Section: M 12:00p - 12:50p HSS 1330; Office Hours: W 12:00-1:00p, 4839 AP&M).
E-mail: sagarwal+cse166 cs.ucsd.edu

The class section id for CSE 166 is #476559. Lecture: MWF 3:00pm-3:50pm, Cognitive Science Building (CSB) 002.

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 by Kenneth R. Castleman (TA1632 .C37)
Fundamentals of Image Processing by Hany Farid
Digital Image Processing by Bernd Jähne (TA1637 .J34)
Fundamentals of Digital Image Processing by A.K. Jain (TA1632 .J35)
Digital Image Processing by W. K. Pratt (TA1632 .P7)

Handy Math reference:
MathWorld

Most recently updated on Sept. 25, 2002 by Serge Belongie.