| Instructor(s) | Dr. Javad Alirezaie [Coordinator] Office: ENG452 Phone: (416) 979-5000 x 556092 Email: javad@torontomu.ca Office Hours: Thu. 11:00AM-12:00 PM | ||||||||||||||
| Calendar Description | The course will cover basic theory and principles of digital image processing. The topics covered include: Image Capture and Display, Digital Image Storage and formats, 2-D Sampling and Quantization of Images, Grey-level image processing, 2-D image filtering operations (spatial and frequency domain), colour and trichromacy, planar colour image processing, image compression, and the extension of concepts to video. | ||||||||||||||
| Prerequisites | ELE 632 | ||||||||||||||
| Antirequisites | None | ||||||||||||||
| Corerequisites | None | ||||||||||||||
| Compulsory Text(s): |
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| Reference Text(s): |
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| Learning Objectives (Indicators) | At the end of this course, the successful student will be able to:
NOTE:Numbers in parentheses refer to the graduate attributes required by the Canadian Engineering Accreditation Board (CEAB). | ||||||||||||||
| Course Organization | 3.0 hours of lecture per week for 13 weeks | ||||||||||||||
| Teaching Assistants | TBA | ||||||||||||||
| Course Evaluation |
Note: In order for a student to pass a course, a minimum overall course mark of 50% must be obtained. In addition, for courses that have both "Theory and Laboratory" components, the student must pass the Laboratory and Theory portions separately by achieving a minimum of 50% in the combined Laboratory components and 50% in the combined Theory components. Please refer to the "Course Evaluation" section above for details on the Theory and Laboratory components (if applicable). | ||||||||||||||
| Examinations | The midterm exam is scheduled on D2L calendar during the regular lecture period. Final exam, during the examination period, between 2.5 to 3 hours, closed-book (covers all course materials). | ||||||||||||||
| Other Evaluation Information | Laboratories There will be 5 individual practical assignments (4 lab assignments and a final lab project) in this course. These assignments are more like mini-projects and are NOT meant to be done/completed in the assigned lab hours. They are to be done primarily outside lab and lecture hours. The assigned lab hours are available for you to make use of as you see fit and will also be the best time to get direct help from the TA on these assignments. The assignments will consist of theoretical and practical parts and will require the use of Python. | ||||||||||||||
| Other Information | None | ||||||||||||||
Week | Hours | Chapters / | Topic, description |
|---|---|---|---|
1 | 3 | Introduction to Digital Image Processing | |
2 | 3 | Digital Image Fundamentals | |
3-4 | 4 | Intensity Transforms | |
4-5 | 5 | Spatial Filtering | |
6-7 | 6 | 2-D Fourier Transform & Sampling | |
8 | 3 | Frequency Domain Filtering | |
9 | 3 | Image Restoration | |
10-11 | 6 | Colour Image Processing | |
12 | 3 | Extra and Advanced Topics (Time permitted) |
Week | L/T/A | Description |
|---|---|---|
2-3 | Assignment 1 | DIGITAL IMAGES |
4-5 | Assignment 2 | POINT OPERATIONS |
6-7 | Assignment 3 | IMAGE ENHANCEMENT AND NOISE REMOVAL |
8-9 | Assignment 4 | COLOUR |
10-11 | Assignment 5 | Final Lab Project |
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