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.

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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 16:00-18:00, Wednesdays 16:00-18:00, Thursdays 10:30-12:30, 16:00-18:00

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, multi-scale 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

• Week 3 Tutorial
• Week 6 Tutorial

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

• Practice Midterm
• Practice Midterm Solution

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.

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Assessment Policy

Last updated: December 12, 2018 16:01:56