Mathematical foundations of digital image processing. Linear and nonlinear filtering, sampling, Fourier and Wavelet transforms. Image analysis and computer vision. 4 units. ## PrerequisitesLinear Algebra and Calculus. ## Room & Time- Lecture: TuTh 12:30-1:50pm, CENTR 105
- Discussion: TBA
Class section ID: #785833. ## Course Requirements and GradingYour grade will be determined by the homeworks (50%) and exams (50%). The complete breakdown is as follows - 25% written homework problems
- 25% programming exercises
- 15% midterm: Nov. 7
- 35% final: Friday Dec. 13, 11:30am-2:30pm
The A = 90-100 Depending on the difficulty of the exams, your grade may be higher, with a maximum adjustment of 10 points (e.g., a D may go down to 50). Homework consists of two parts: regular written problems and programming exercises. Unless otherwise stated in class, all homework must be turned in in hardcopy format. Collaboration is encouraged and you may work in teams of up to three and hand in a single assignment. Please note the names of all collaborators and references (books, internet, etc.) on the cover sheet for each homework assignment. You must have contributed to and have a complete understanding of each solution you hand in.
Points will be deducted for late homework turnins. The due date and
time will appear at the top of each homework assignment; unless
otherwise specified, the assignment is due at the beginning of
lecture. If you turn in a homework after it is due, you will lose 20%
of its score up front and 20% per day thereafter, except in
established cases of illness or emergency. You can keep track of your progress on Gradesource. ## Required TextbookDigital Image Processing, 3rd Edition Relevant non-required textbooks:
Digital Image Processing Using MATLAB by Gonzalez, Woods, and Eddins. |