MATH3360 - Mathematical Imaging - 2017/18

Course Name: 
Course Year: 
2017/18
Term: 
1

Announcement

  • There is no tutorial in the first week of class.
  • HW1 has been posted. It will be due on September 22 (Friday) before 6pm. Please hand in your HW to the Math3360 HW mailbox outside the MATH general office.
  • HW2 has been posted. Please email your programming solution to sylvesterqiu@gmail.com.
  • HW3 has been posted. Please email your programming solution to sylvesterqiu@gmail.com.
  • HW4 has been posted. Please email your programming solution to sylvesterqiu@gmail.com.

General Information

Lecturer

  • Prof. Ronald Lok Ming LUI
    • Office: 207
    • Tel: 3943-7975
    • Email:

Teaching Assistant

  • Mr. Chun Pong LAU
    • Office: 222B
    • Email:
  • Mr. Di QIU
    • Office: 222B
    • Email:

Course Description

This course gives an introducion on mathematical models and techniques for various image processing tasks. A wide array of topics will be covered, including image restoration (denoising, deblurring), image segmentation, image compression, image registration, feature detection, multi-scale image analysis and so on. Students will become familiar with essential mathematical techniques for imaging tasks, such as image processing in the spatial domain (using gradient, Laplacian, convolution) and frequency domain (using Fourier / wavelet transform). Differential equation based techniques will also be discussed.

Our goal of this course is to help students appreciate the importance of mathematics in imaging sciences. Students will have a chance to learn how existing image processing techniques are built based on mathematical theories. Upon successful completion of the course, interested students are also welcome to approach the lecturer to ask for opportunities to work on some research projects related to mathematical image processing.


Textbooks

  • Will be based on the lecture notes, class notes and ppt uploaded on the course website.

Lecture Notes


Class Notes


Tutorial Notes


Assignments


Quizzes and Exams


Solutions


Assessment Scheme

Homework 15%
Midterm (2:30pm-4:15pm, October 18, 2017 at LSB LT4 in class) 35%
Final 50%

Honesty in Academic Work

The Chinese University of Hong Kong places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating and plagiarism. Any related offence will lead to disciplinary action including termination of studies at the University. Although cases of cheating or plagiarism are rare at the University, everyone should make himself / herself familiar with the content of the following website:

http://www.cuhk.edu.hk/policy/academichonesty/

and thereby help avoid any practice that would not be acceptable.


Assessment Policy

Last updated: December 03, 2017 15:22:48