MATH3360  Mathematical Imaging  2018/19
Announcement
 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
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: Tuesday 8:30am10am, 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, multiscale 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
 Chapter 1: Basic concepts in mathematical imaging
 Chapter 2: Image decomposition
 Chapter 3: Image enhancement in the frequency domain
 Chapter 4: Image enhancement in the spatial domain
 Chapter 5: Image segmentation
Class Notes
 Powerpoint of Lecture 1&2
 Class Note of Lecture 1
 Class Note of Lecture 2
 Class Note of Lecture 3
 Powerpoint of Lecture 3 & 4
 Class Note of Lecture 4
 Class Note of Lecture 5
 Powerpoint of Lecture 5
 Class Note of Lecture 6
 Class Note of Lecture 7
 Powerpoint of Lecture 7
 Class Note of Lecture 8
 Powerpoint of Lecture 8
 Class Note of Lecture 9
 Powerpoint of Lecture 10
 Class Note of Lecture 10
 Class Note of Lecture 11
 Class Note of Lecture 12
 Powerpoint of Lecture 12
 Class Note of Lecture 13
 Powerpoint of Lecture 13
 Class Note of Lecture 14
 Class Note of Lecture 15
 Powerpoint of Lecture 15
 Class Note of Lecture 16
 Class Note of Lecture 17
 Powerpoint of Lecture 17
 Class Note of Lecture 18
 Powerpoint of Lecture 18
 Class Note of Lecture 19
 Powerpoint of Lecture 19
 Class Note of Lecture 20
 Class Note of Lecture 21
 Class Note of Lecture 22
 Class Note of Lecture 23
Tutorial Notes
 Week 2 Tutorial
 Week 3 Tutorial
 Week 4 Tutorial
 Week 5 Tutorial
 Week 6 Tutorial
 Week 8 Tutorial
 Week 9 Tutorial
 Week 10 Tutorial
 Week 12 Tutorial
 Week 13 Tutorial
Assignments
 Assignment 1 (Due: 26 Sep 2018)
 Assignment 2 (Due: 11 Oct 2018)
 Assignment 3 (Due: 1 Nov 2018)
 Assignment 4 (Due: 15 Nov 2018)
 Assignment 5 (Due: 6 Dec 2018)
Solutions
 Assignment 1 Solutions
 Assignment 2 Solutions
 Assignment 3 Solutions
 Assignment 4 Solutions
 Assignment 5 Solutions
 Chapter 1 Exercises Solutions
 Chapter 2 Exercises Solutions
 Chapter 3 Exercises Solutions
 Chapter 4 Exercises Solutions
 Midterm Exam Solutions
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:
http://www.cuhk.edu.hk/policy/academichonesty/and thereby help avoid any practice that would not be acceptable.
Assessment Policy Last updated: December 13, 2018 17:40:14