DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

UNIVERSITY OF CALIFORNIA, SAN DIEGO

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.

Topics to be Covered:

1. mathematical foundations2. 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:

- homework #1 [ps][pdf]
- homework #2 [ps][pdf]
- homework #3 [ps][pdf]
- homework #4 [ps][pdf]
- midterm [ps][pdf]
- homework #5 [ps][pdf]
- homework #6 [ps][pdf][coords.txt]
- homework #7 [ps][pdf][face_data_100.mat.gz]
- homework #8 [ps][pdf]
- optical flow handout [png 1 2 3 4]
- k-means handout [pdf]
- equation reference sheet [ps] [pdf]
- outline of topics covered during quarter [txt]
- final [ps] [pdf]

Links:

Required textbook:

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

Digital Image Processing by Kenneth R. Castleman (TA1632 .C37)Handy Math reference:

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)

MathWorld

*Most recently updated on Nov. 20, 2001 by Serge Belongie.*