Number of Credits

3

Offering School

School of Electronic Information and Electrical Engineering

Course Instructor

Rui Zhang

Course Level

Senior Undergraduate and Graduate

Language of Instruction

English

First Day of Class

Tuesday, Sept. 20, 2022

Last Day of Class

Tuesday, Jan. 3, 2023

Course Component

Lecture

Mode of Teaching

Synchronous (Online + On-campus)

Course recordings available for students.

Meeting Time

Week 2-17: Tuesdays, 12:55 p.m. - 15:40 p.m.

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Time Zone

Beijing Time（UTC+8）

Restrictions

Prerequisites:

Digital Signal Processing, Matrix Theory, Probability Theory, Random Procedure

Course Description

This course is offered for senior undergraduates, master students and Ph.D candidates. It introduces fundamental principles and practical techniques of digital image processing. The content of the course comprises of 3 parts.

Part one, fundamental principles, includes the theories of 2- D signal processing and visual psychology, results of information theory and image transforms.

Part two, human visual system based practical techniques, includes the principles and the methods of image enhancement, image restoration, image reconstruction and image compression.

Part three, content recognition and understanding based practical techniques, introduces image segmentation and image description in the view of digital image processing.

This course completely reflects the new progress of digital image processing, not only gives the research hotspots, but also gives practical methods and techniques of this field.

Assessment Format

1. Practice exercise：20%
2. Project reports：40%
3. Final exam：40%

Syllabus

English