SylabUZ
Course name | Digital processing of visual data |
Course ID | 11.3-WE-INFP-DPofVD-Er |
Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
Field of study | Computer Science |
Education profile | academic |
Level of studies | Erasmus programme |
Beginning semester | winter term 2017/2018 |
Semester | 5 |
ECTS credits to win | 6 |
Course type | optional |
Teaching language | english |
Author of syllabus |
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The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Lecture | 15 | 1 | - | - | Exam |
Laboratory | 30 | 2 | - | - | Credit with grade |
Project | 15 | 1 | - | - | Credit with grade |
To provide basic knowledge about data digitization. To provide understanding of the role of digital data processing techniques in technique and society development. To provide basic skills in modeling of systems for digital data processing, filtering and compression. To provide basic skills in using compression techniques of images and video sequences.
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Sampling, digital-analogue conversion. Basic types of digital signals. Digital signal ambiguity.
Digital data acquisition and representation.
Visual data converters. Digital data processing system modeling. Decorrelation, quantization.
Frequency-domain analysis.
Selected discrete transformations: role, principle of operation.
Data compression, applications.
Compression lossy and lossless, the importance of compression.
Measures quality of images and video sequences.
Standards for compression of still images.
Compression standards for video sequences.
Lecture, laboratory exercises, project.
Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture – the passing condition is to obtain a positive mark from the final test and oral presentation .
Laboratory – the passing condition is to obtain positive marks from all laboratory exercises to be planned during the semester.
Project - the passing condition is to obtain a positive mark from the final report
Calculation of the final grade: lecture 40% + laboratory 30% + project 30%
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Modified by dr inż. Andrzej Popławski (last modification: 26-05-2017 16:01)