ELEC 4130 Digital Image Processing,  Fall 2013


Tuesday and Thursday:



LSK 1007


Yu, Weichuan


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


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


Prerequisite: ELEC3100, MATH2111


Grade is based on homework (20%), mid-term (30%) and final exam (50%).  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           Introduction

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           Mid-term Exam (Oct. 17)

Week 8           Image Restoration

Week 9           Color Image Processing

Week 10         Image Compression

Week 11         Image Segmentation 1

Week 12         Image Segmentation 2

Week 13         Final Review 



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



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/