MMAT5390  Mathematical Image Processing  2018/19
Announcement
 (4 October) Please note that Q1b of HW2 has been amended.
 If you intend to submit assignments outside lectures, please put them into the locked part in the bottom half of the assignment box opposite Lady Shaw Building Rm221. You may retrieve marked assignments from the shelf on the top half.
 (26 November) Please note that Q6 has been added to HW6.
General Information
Lecturer

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 16:0018:00, Wednesdays 16:0018:00, Thursdays 10:3012:30, 16:0018:00
Time and Venue
 Lecture: Wednesday 6:30PM  9:15PM, YIA LT3
Course Description
This course gives an introducion 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, multiscale image analysis and so on.
Lecture Notes
 Chapter 1: Basic concepts in Digital Image Processing
 Chapter 2: Review of Basic Mathematical Concepts
 Chapter 3: Image Decomposition
 Chapter 4: Image Enhancement in the Frequency Domain
 Chapter 5: Image Enhancement in the Spatial Domain
Class Notes
 Powerpoint of Lecture 1
 Class Note of Lecture 1
 Powerpoint of Lecture 2
 Class Note of Lecture 2
 Math Review
 Class Note of Lecture 3
 Powerpoint of Lecture 3
 Class Note of Lecture 4
 Powerpoint of Lecture 4
 Class Note of Lecture 5
 Class Note of Lecture 6
 Class Note of Lecture 7
 Powerpoint of Lecture 7
 Powerpoint of Lecture 8
 Class Note of Lecture 8
 Class Note of Lecture 9
 Class Note of Lecture 10
 Class Note of Lecture 11
Tutorial Notes
Assignments
 Assignment 1 (Due: 26 Sep 2018)
 Assignment 2 (Amended Q1b) (Due: 11 Oct 2018)
 Assignment 3 (Due: 19 Nov 2018)
 Assignment 4 (Added Q6) (Due: 18:00, 10 Dec 2018)
Quizzes and Exams
Solutions
 Assignment 1 Solutions
 Assignment 2 Solutions
 Assignment 3 Solutions
 Assignment 4 Solutions
 Chapter 1 Exercises Solutions
 Chapter 3 Exercises Solutions
 Chapter 4 Exercises Solutions
 Chapter 5 Exercises Solutions
 Midterm Exam Solutions
Assessment Scheme
Homework  30%  
Midterm (Oct 24)  30%  
Final (Dec 12)  40% 
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 12, 2018 16:01:56