EESM5700 Image and Video Signal Processing,  Spring 2014





Room 2464


Yu, Weichuan


This course introduces methods to process images and videos on a computer. The topics include: the formation and quantification of digital images and videos, morphological image processing, image enhancement in the spatial and frequency domain, image restoration, color image processing, image and video compression, image segmentation, and motion estimation.  


This course is mathematics-oriented. It requires basic knowledge of linear algebra, calculus, and linear filtering.  Familiarity with the programming language MATLAB is needed. 


Grade is based on homework (20%), mid-term (40%) and a final project (40%).  A tentative schedule is described as follows. More materials (lecture notes, homework assignment, etc.) can be found at


Week 1           Image Formation

Week 2           Transforms

Week 3           Morphological Image Processing

Week 4           Image Enhancement in the Spatial Domain 1

Week 5           Image Enhancement in the Spatial Domain 2

Week 6           Image Enhancement in the Frequency Domain

Week 7           Image Restoration

Week 8           Color Image Processing

Week 9           Mid-term Exam

Week 10         Image Compression

Week 11         Image Segmentation  1

Week 12         Image Segmentation 2

Week 13         Motion Estimation




Text Books:


Digital Image Processing
by Rafael C. Gonzalez and Richard E. Woods,  Prentice Hall, 3rd Edition, 2008.


Video Processing and Communications

by Yao Wang, Jorn Ostermann, and Ya-Qin Zhang,  Prentice Hall, 2002.





Digital Image Processing using Matlab
by Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins Prentice Hall, 2004.


Textbook webpage (a lot of online tutorials)