MMAT5390 - Mathematical Image Processing - 2021/22

Course Year: 


  • The due date of HW4 has been postponed. It will be due on April 25 before 12pm.
  • Online Course and Teaching Evaluation for MMAT5390 Term 2, 2021-22

    The Course and Teaching Evaluation exercise for the 2nd term of 2021-22 will continue to be conducted in online mode. Please note that the invitation email contains a unique survey link has been sent to student’s email address ( on 6 April 2022 from the sender of OCTE and with the subject line read as “Online CTE Questionnaire for MMAT5390: Mathematical Image Processing (Professor LUI Lok Ming)”. By clicking the link in an email, students would be able to access the survey site and to complete the surveys without the need of providing the passwords.

    Start Date & Time of Survey: Tuesday, 12 April 2022 6:30 PMEnd Date & Time of Survey: Thursday, 14 April 2022 11:59 PM

    Please complete the evaluation before the stipulated deadline for submission, i.e. 11:59 p.m. on 14 April 2022.

  • Homework 4 has been posted. It is due on April 22, 2022
  • The final examination will be held on April 26 (Tuesday) from 6:30pm to 8:30pm. The examination will be held online on ZOOM with inviligilation (same as the midterm examination).
  • Homework 3 has been posted. It is due on April 1, 2022
  • Important information about the midterm examination
    Midterm examination will be conducted online on March 22 (Tuesday) during the lecture hours (6:30pm-8:30pm). Details are as follows:
    1. The midterm examination covers materials from Class Note 1 to Class Note 8.
    2. The questions in the midterm examination are similar to the homework questions and exercises after each chapter of the lecture notes. Please review the questions.
    3. The examination will be conducted with invigilation during the lecture hours from 6:30pm to 8:30pm on March 22 (Tuesday). You MUST log into zoom (same as the lecture link: ) and turn on your webcam. You MUST show your face during the examination.
    4. The examination question will be uploaded to the class website: at 6:28pm. Write your solution on A4 blank papers or on your IPad (or similar) device.
    5. After the examination, please take photos of or scan your solution. You can use a virtual scanner with some apps (such as: ). Upload your solution to Blackboard (same procedure as you upload your HWs). You will have 20 minutes to do so.
    6. If you face any difficulties when uploading your solution, you MUST send me an email ( immediately attaching your solution. You MUST inform me immediately about the technical problems during the 20-minute uploading period. Late submission will result in mark deduction.
    7. Discussions amongst classmates ARE PROHIBITED.
    8. The examination allows OPEN Note. 
  • Midterm is postponed to March 22.
  • Homework 2 has been posted. It will be due on March 8 before 1159PM.
  • All lectures will be conducted on Zoom.
  • Important announcement

    Lectures (Feb 8 and Feb 15) will be conducted on Zoom. Please go to the following zoom link:

  • Important announcement

    In view of the unfolding Omicron outbreak, the University has decided to move all learning and teaching into fully online delivery mode until further notice. As such, our MMAT5390 lecture on January 25 from 6:30pm to 9pm will be conducted on zoom. Please join the online lecture via the following zoom link:

  • To submit the HW, please go to Blackboard. Click on "Course Content" and find "Homework 1".
  • Homework 1 has been posted. It will be due on Feb 8 before 1159PM. Please submit the HW through the Blackboard System.

General Information


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

Teaching Assistant

  • Chen Qiguang
    • Office: LSB 222B
    • Email:

Time and Venue

  • Lecture: Tues 6:30pm-9:00pm, Cheng Yu Tung Building 209A-B

Course Description

This course gives an introduction on mathematical models and techniques for various image processing tasks. Our focus will be on the mathematical aspects of different imaging problems. A wide array of topics will be covered, including image restoration (denoising, deblurring), image segmentation, image compression, image registration, multi-scale image analysis and so on.

Lecture Notes

Class Notes


Quizzes and Exams


Assessment Scheme

Homework 15%
Midterm exam (March 22, 6:30pm-9:00pm, conducted in class) 35%
Final exam (April 26, 6:30pm-9:00pm, conducted online on ZOOM) 50%

Useful Links

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: April 26, 2022 18:05:01