MMAT5390 - Mathematical Image Processing - 2024/25
Announcement
- Assignment 1 has been posted. It will be due on Feb 5 before 1159PM. Please submit the HW through the Blackboard System.
General Information
Lecturer
-
Ronald Lok Ming Lui LUI
- Office: LSB 207
- Tel: 3943-7975
- Email:
Teaching Assistant
-
Yulin Wei
- Office: LSB 222B
- Tel: 3943 7963
- Email:
-
Hei Tung Tsang
- Office: SC 333B
- Email:
Time and Venue
- Lecture: Th 3:30PM - 6:15PM, Science Centre L1
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
- Lecture 1 (Class Note): Image transformation and point spread function
- Lecture 1 (Powerpoint): Basic background about image processing
- Lecture 2 (Class Note): Image convolution
- Lecture 2 (PowerPoint): Examples of image convolution
- Lecture 3 (Class Note): Image similarity, Transformation matrix, Image decomposition and SVD
- Lecture 4: (Class note): More about SVD & Haar Wavelet transform
- Lecture 4: (Powerpoint): Examples of image decomposition by SVD and Haar transformation
Assignments
Solutions
- Solution
Assessment Scheme
Homework | 15% | |
Midterm (3:30PM-5:30PM, March 13, 2025, conducted in class) | 35% | |
Final (TBA) | 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: February 06, 2025 20:28:28