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