数字图像处理

Digital Image Processing

(本硕贯通课程,MATH6420P)

(Autumn-Winter 2021)

Graphics&Geometric Computing Laboratory

University of Science and Technology of China


Announcements     General     Description      Course Goals     Topics     Texts     Grading  

Syllabus     Assignments     Requirements on Assignments      Professional Conduct     Resources


Announcements


General
 

Time 每周二晚19:00--
Venue 东区5407
Instructor

Prof. Ligang Liu (lgliu@ustc.edu.cn)

Credit 4
Prerequisite 编程(C++或Matlab),微积分,线性代数
   
Webpage http://staff.ustc.edu.cn/~lgliu/Courses/DIP_2021_autumn-winter/default.htm

 


Description

Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them. It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.

Prerequisite: C++/Matlab, Calculus, Linear Algebra

 


Course Goals

This course is to teach students to learn image processing including image sampling and quantization, color, point operations, segmentation, morphological image processing, linear image filtering and correlation, image transforms, eigenimages, multiresolution image processing, noise reduction and restoration, feature extraction and recognition tasks, image registration. Emphasis is on the general principles of image processing. Students learn to apply material by implementing and investigating image processing algorithms in Matlab and optionally on Android mobile devices.


Topics
 

This course provides a comprehensive introduction to image processing, including their design, analysis, and implementation. Topics include:
   
·Image data structure
   
·Edge detection
   
·Image restoration
   
·Fourier analysis
   
·Image compression
   
·Multiresolution analysis
   
·Image warping and morphing
   
·Image segmentation
   
·Image understanding
   
·Sparse representation and low rank
   
·Data-driven methods
 


Texts
 

References:

        Other researchers' courses

Readings:
            Various journal papers, conference papers, or WWW materials as appropriate.
 


Grading

Credit toward the semester grade will be allocated to each of the components as indicated in the following table.

Homework 70%
Final Project 30%

Note: No final examination will be held in the end of this course. Programming projects and literature survey report are both required. More information will be provided in the class.


Syllabus

课程PPT可在睿客网下载:课程相关资料下载

 

Assignments


Requirements on Assignments
 

Requirements

Assignment Submission

What constitutes Creativity ?

Creativity is any substantial improvement beyond the basic solution - it can be applied to any part of the project. For example, the following are relevant in most cases :


Professional Conduct

As a student in our class, you are expected to conduct yourself in a professional manner.

Limited Collaboration Policy. Unless otherwise indicated, any homework assignment given in this class will be an individual assignment. The work you submit is to reflect the knowledge, understanding, and skill that you have attained as an individual. However, the instructor does want to encourage the development of a community of scholars who are actively engaged in discussion of the ideas related to this course. With this in mind, you are allowed to discuss solutions of the homework and programming problems with other students if done so according to the following guidelines:


Resources

C++ coding styles

Computer Program Documentation Standards

Image processing:

Advices on Researches:

Useful coding related sites on the internet:


Send any comments or suggestions to Prof. Ligang Liu (lgliu@ustc.edu.cn)
Copyright © 2021, Ligang Liu