(3 hours of lectures per week, 1.5 hours of labs per week, 3
credits)
Instructor:
TAs:
TBD
Professor's Office Hour:
TBD
Timetable:
| Section | Activity | Day | Location | Professor |
|---|
CSI4133 A00
(September 06 - December 06) | LEC | Thursday 13:00 - 14:30 | STE F0126 | Wonsook Lee |
CSI4133 A00
(September 06 - December 06) | LEC | Monday 11:30 - 13:00 | FSS 9003 | Wonsook Lee |
CSI4133 A01
(September 06 - December 06) | LAB | Wednesday 13:00 - 14:30 | STE 2052 | Wonsook Lee |
Description:
Representation of digital pictures. Elements of visual perception.
Imaging geometry. Image enhancement and image restoration. Image
segmentation and feature identification. Content-based analysis of
images. Images compression, compression standards and graphics file
format. Prerequisite: CSI3105.
Textbook:
Digital Image
Processing, 2nd (2002) or 3rd (2007) Edition, by Gonzalez and Woods,
Prentice Hall course notes (blackboard learn)
Recommended References:
Marking scheme:
A maximum of 100 marks will be available. The
division is as follows:
|
marks
|
Ref
|
MidTerm
|
20 marks |
|
Final Exam
|
40 marks |
|
| Projects |
40 marks |
|
NOTE
I:
To
pass the course you must get at least 50% in the average of the two
exams
NOTE
II: A student who has an official medical certificate (from
the
University Health Services) for the absence on the day of the midterm
will have the final exam mark scaled up accordingly.
Topics (Tentative):
- Human Vision
- Image Modalities
- Image Capture
- Color
- Image Enhancement - Spatial Domain
- Spatial Filter - smoothing
- Spatial Filter - sharpening
- Spatial Filter - LoG
- Math Morphology
- Frequency Domain
- Graphics File Foramts
- Predictive Coding
- Interest Detection