OE-P14 - Project - Digital Image Processing
| Course specification | ||||
|---|---|---|---|---|
| Course title | Project - Digital Image Processing | |||
| Acronym | OE-P14 | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | Electronics | |||
| Type of study | bachelor academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 2.0 | Status | mandatory | |
| Condition | Attending Digital image processing course | |||
| The goal | Training of students to implement their own algorithms for image processing and analysis. | |||
| The outcome | After this course, the students are able to use software packages and to write their own programs. | |||
| Contents | ||||
| Contents of lectures | Fundamentals of digital image processing. Formation of digital image and video signals. Discretization of 2D signals. Image transformations. Improvement of picture quality in space and transform domain. Improvement of color images. Picture degradation and restoration. Image compression. Standards for image compression. Processing of video signals. Edge detection. Image segmentation. | |||
| Contents of exercises | Use of the programing system MATLAB. | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 0 | 2 | |||
| Methods of teaching | Consulting during the work. | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 0 | |
| Practical lessons | 0 | Oral examination | 30 | |
| Projects | 70 | |||
| Colloquia | 0 | |||
| Seminars | 0 | |||