EESM5700 Image
and Video Signal Processing, Spring
2014
Tuesday: |
19:15PM-22:05PM |
Venue: |
Room 2464 |
Instructor: |
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 http://lmes2.ust.hk/portal/:
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.
References:
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)
http://www.imageprocessingplace.com/