SGN-3016 DIGITAL IMAGE PROCESSING I, 5 cr
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Courses persons responsible
Moncef Gabbouj
Lecturers
Serkan Kiranyaz
Lecturetimes and places
Per I,II: Monday 14 - 16, TB110
Implementations
Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
Lecture | 2 h/week | 2 h/week | - | - | - | - |
Exercise | 2 h/week | 2 h/week | - | - | - | - |
Exam |
Objectives
Study the fundamentals of digital image processing.
Content
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. |
Requirements for completing the course
Exercises and final exam.
Evaluation criteria for the course
Study material
Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
Book | "Digital Image Processing" | R. Gonzalez and R. Woods | http://www.imageprocessingplace.com/, 2. painos, Prentice-Hall, New Jersey, 2002 | Yes | English |
Prerequisites
Code | Course | Credits | M/R |
OHJ-1100 | OHJ-1100 Programming I | 4 | Recommendable |
OHJ-1106 | OHJ-1106 Programming I | 4 | Recommendable |
SGN-1107 | SGN-1107 Introductory Signal Processing | 4 | Mandatory |
SGN-1200 | SGN-1200 Signal Processing Methods | 4 | Mandatory |
Prequisite relations (Sign up to TUT Intranet required)
Additional information about prerequisites
Either SGN-1107 or SGN-1200 is required.
Remarks
Courses SGN-3016 and SGN-3010 are mutually exclusive. Only one can be taken.
Distance learning
- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In compiling teaching material, particularly for online use or other electronic media
- In compiling exercise, group or laboratory work
- In distributing and/or returning exercise work, material etc
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
- Contact teaching: 60 %
- Distance learning: 0 %
- Proportion of a student's independent study: 40 %
Attendance is mandatory. To pass the course, students must get at least half of the total points in the exercies and project work and half the points in the final exam.
Scaling
Methods of instruction | Hours |
Lectures | 60 |
Exercises | 48 |
Assignments | 10 |
Information and communication technology | 40 |
Learning diary, portfolio and other written work | 30 |
Other scaled | Hours |
Exam/midterm exam | 3 |
Total sum | 191 |
Additional information related to course
This course is equivalent to SGN-3010
Correspondence of content
8002103 Digital Image Processing
Last modified | 17.08.2007 |
Modified by | Sari Peltonen |