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

CSE 190: Image Processing

Winter 2002

 

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, AP&M room 4832. Office Hours: M 4:30pm-5:30pm, Tu 2:00-3:00pm

The class section id for CSE190 C00 is #424368.

Lecture: MWF 1:25pm-2:15pm, WLH 2204.

Discussion Section: M 2:30pm-3:20pm, 001 Cognitive Science Bldg.

The TA is Josh Wills. Office Hours: TBA.

Grading and Course Policies

Topics to be Covered:

1. mathematical foundations
2. discrete-time signals and systems
3. linear time-invariant systems
4. sampling
5. linear filtering
6. nonlinear filtering
7. feature extraction
8. object 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 Nov. 20, 2001 by Serge Belongie.