MATH3360 - Mathematical Imaging - 2018/19

Course Name: 
Course Year: 


  • There is no tutorial in the first week of class.
  • HW1 has been posted. Please hand in the homework to the homework mailbox right next to the General Office of the Math. Department.
  • In the tutorial notes for week 4, the proofs of the orthonormality of the Haar and Walsh functions are withheld until the due date of HW2 has passed.
  • (4 October) Please note that Q1b of HW2 has been amended.

General Information


  • Ronald Lok Ming Lui
    • Office: LSB 207
    • Tel: 39437975
    • Email:

Teaching Assistant

  • Owen Yu Hin Lai
    • Office: LSB 222A
    • Tel: 39433575
    • Email:
    • Office Hours: Tuesdays 16:00-18:00, Wednesdays 16:00-18:00, Thursdays 10:30-12:30, 16:00-18:00

Time and Venue

  • Lecture: Tuesday 8:30am-10am, LSB LT3; Thursday 9:30AM - 10:15AM
  • Tutorial: Thursday 8:30AM - 9:15AM, LSB LT3

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.

Lecture Notes

Class Notes

Tutorial Notes



Assessment Scheme

Homework 15%
Midterm (Oct 18) 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:

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

Assessment Policy

Last updated: December 13, 2018 17:40:14