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SGN-3016 Digital Image Processing I, 5 cr |
Serkan Kiranyaz, Moncef Gabbouj
| Lecture times and places | Target group recommended to | |
| Implementation 1 |
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Exercises and final exam.
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Study the fundamentals of digital image processing.
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Fundamentals of digital image processing are discussed. | Sampling theorem and theory of quantization. | Nonlinear filtering. |
| 2. | Image formation, sampling, quantization and the human visual system. | Fourier Transforms. | Image analysis and segmentation. |
| 3. | Image enhancement in spatial and frequency domains. | Imputlse response and frequency response of Linear Filters. | |
| 4. | Image restoration in spatial and frequency domains. | Theory of transforms. | |
| 5. | Color spaces and color image processing. | Colorimetry. |
Grading is on the scale of 1-5. In order to pass the course, students must collect at least half the points from the final exam and half the points from the exercises. A project work may also be given.
Numerical evaluation scale (1-5) will be used on the course
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | "Digital Image Processing" | R. Gonzalez and R. Woods | http://www.imageprocessingplace.com/, 3rd edition, Prentice-Hall, New Jersey, 2008 | English |
| Course | O/R |
| OHJ-1100 Ohjelmointi I | Recommended |
| OHJ-1106 Programming I | Recommended |
| SGN-1107 Introductory Signal Processing | Obligatory |
| SGN-1200 Signaalinkäsittelyn menetelmät | Obligatory |
| Course | Corresponds course | Description |
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This course is equivalent to SGN-3010
| Description | Methods of instruction | Implementation | |
| Implementation 1 | Lectures Excercises ITC Utilization Practical works Study journal, portfolio and other literary work |
Contact teaching: 20 % Distance learning: 10 % Self-directed learning: 10 % |