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, Associate Professor. Office Hours: click here.
Note: when emailing the instructor or TA with questions about the class, please put ``cse166'' in the subject line:
Boris Babenko (Discussion Section: W 1pm-1:50pm, Warren Lecture Hall 2205; Office Hours: Th 11am-noon, Vision Lab (EBU3 4127)).
Click here to access the GradeSource portal to track your progress .
The class section id for CSE 166 is #692257. Lecture: MWF 2:00pm-2:50pm, Warren Lecture Hall 2205.
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, 3rd Edition|
Gonzalez & Woods
ISBN no. 9780131687288
Note: The 2nd edition of this textbook is also acceptable for this course
Digital Image Processing Using MATLAB by Gonzalez, Woods, and Eddins.Handy Math reference:
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
Most recently updated on 8/31/2010 by Boris Babenko.