CMSC 178IP · Syllabus
Digital Image Processing
Fundamentals of digital image processing and computer vision
This syllabus is not final. It is a working outline and will change
before the term settles — the topic sequence below is indicative, and grading,
deadlines and course policies are still being finalised. Anything here may be revised
and announced in class. Do not treat it as the official course document.
Topics by week
| Week | Topic | |
|---|---|---|
| 1 | Introduction to Digital Image Processing | slides |
| 2 | Storage and Compression | slides |
| 3 | Image Processing Fundamentals | slides |
| 4 | Image Enhancement and Filtering | slides |
| 5 | Image Restoration | slides |
| 6 | Geometric Transformations | slides |
| 7 | Feature Extraction | slides |
| 8 | Segmentation and Morphology | slides |
| 9 | Computer Vision & Deep Learning I | slides |
| 10 | Computer Vision & Deep Learning II | slides |
| 11 | Generative Models | slides |
Assessment
Not finalised. The weighting of labs, project and any exams will be confirmed and announced before it affects any submitted work.
Course policies
Attendance, late work, academic integrity and use of AI tools are still being finalised for this term.
Where things live
| Slides & materials | This portal — they stay up all term |