Course name:Digital Image Processing
Course code: EE346
Credit/class hours: 3/54
Time: 10:00~11:40 am on Mon. and 8:00~9:40 am on Thur. (odd-numbered weeks)
Classroom: 1-102, Dongzhong buildings
Textbook and References
(1)R.C. Gonzalez and R.E Woods, Digital Image Processing Third Edition , Publishing House of Electronic Industry, 2010
(2)R.C. Gonzalez and R.E Woods, 阮秋琦、阮智宇等译 数字图像处理第三版中文版 , 电子工业出版社, 2011
(3)R.C. Gonzalez, R.E Woods, and S.L. Eddins, 阮秋琦译 数字图像处理(MATLAB版)第二版 , 电子工业出版社, 2014
(4)熊红凯、孙军等, 数字电视信源编码技术与应用 , 电子工业出版社, 2012
Course Details
This is an introductory course to the fundamentals of digital image processing, which is essential and necessary for further study and research in computer vision, computational photography, etc. We expect to cover topics such as image acquisition, intenstity transformation, image filtering in spatial and frequency domain, image restoration, morphological image processing, multiresolution image processing, image segmentation, image compression, some basic feature extraction and recognition tasks. Students will be required to complete several projects that are designed to substantially enhance their practical experience.
Requirements and Grading
Homework and attendance: 20%
Projects (2+1): 20%+20%
Final Exam: 40%
More information
Syllabus
Class Date | Topic | Lecture Note | Assignments |
Week 1-2 2/22,2/25,2,29 |
Introduction |
Lecture01_1 Lecture01_2 |
|
Week 3 3/07 |
Digital Image Fundamentals | Lecture02 | |
Week 3-5 3/10,3/14,3/21 |
Spatial Filtering | Lecture03 |
Problem 3.7, 3.11, 3.23 |
Week 5-6 3/24,3/28 |
Frequency Filtering | Lecture04 |
Problem 4.8(b),
4.22, 4.28, 4.33, 4.35 |
Week 7-8 4/07,4/11 |
Image Restoration | Lecture05 |
Project 2 restoration pocs |
Week 9 4/18,4/21 |
Multiresolution Processing and Wavelets |
Lecture07 | |
Week 10-11 4/25,5/02 |
Image Compression | Lecture08 | |
Week 11-13 5/05,5/09,5/16 |
Image Segmentation |
Lecture09_1 Lecture09_2 |
|
Week 13 5/19 |
Morphlogical Image Processing | Lecture10 | |
Week 14 5/23 |
Representation | Lecture11 | |
Week 15 5/30 |
Object Recognition | ||
Week 15 6/02 |
Review |
Projects
You totally need to finish 3 projects, which consists of project 1, project 2, and one of project 3_1, project 3_2, and project 3_3. Your work is evaluated by both your code and report, and academic integrity is another major evaluation criterion. Please submit your work on time, otherwise you will get at most half of the score.