EESM5700 Image and Video Signal Processing, Spring 2014
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 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
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) http://www.imageprocessingplace.com/