Course - Colour Imaging - DT8121
DT8121 - Colour Imaging
About
Examination arrangement
Course content
Recent topics within the field of colour imaging, included but not limited to colorimetric device characterization, cross-media colour reproduction, colour image processing and enhancement, quality evaluation, spectral imaging techniques
Learning outcome
Knowledge The candidate is in the forefront of knowledge within the selected topics in colour imaging The candidate can evaluate the approprieteness and applicability of advanced colour imaging methods The candidate has the ability to discuss and explain advanced colour imaging methods
Skills The candidate can formulate and evaluate appropriate solutions to different problems and applications within the interdisciplinary field of colour imaging The candidate can implement advanced colour imaging algorithms
General competence The candidate has the ability to communicate and discuss recent research in advanced topics in colour imaging The candidate has the ability to evaluate other people's work on advanced colour imaging techniques
Learning methods and activities
-Lectures -Project work -Seminar(s) -Tutoring
Further on evaluation
Forms of assessment: The candidate must deliver one lecture on an assigned topic, work on an assigned project (individually or in group), presented orally and through a report, and a final paper. On a topic assigned by the course responsible, the candidate will give a comprehensive lecture, appropriate for an audience of master and PhD students. The lecture should be pedagogical, include enough fundamentals for a non-specialist to follow, be based on recent relevant research, and include perspectives for further research in the field. In the assigned topic the student works individually or in a group on a research topic assigned by the course responsible. The work should include critical evaluation of relevant solutions based on review of the state of the art, implementation and evaluation of one or more selected methods. The work shall be presented orally and in a scientific report. In the final paper the candidate addresses a problem related to his or her own PhD thesis work within the field of colour imaging. The final paper should be in the form of a scientific research paper, including proposed novel idea(s) supported by thorough discussion, experimental results and analysis, in a close to publishable scientific form. The work should also be presented orally. Candidates must pass all three parts.
Recommended previous knowledge
Fundamental programming and algorithms
Fundamental image processing
Fundamental colour science
Course materials
Selected conference proceeding and peer-reviewed publications.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| IMT6141 | 5.0 | AUTUMN 2019 |
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
Location: Gjøvik
- Informatics
Department with academic responsibility
Department of Computer Science
Examination
Examination arrangement: Assignment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Assignment 1/3 ALLE
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Room Building Number of candidates - Autumn ORD Assignment 1/3 ALLE
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Room Building Number of candidates - Autumn ORD Assignment 1/3 ALLE
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Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"