Course - Specialisation in Colour Imaging - IMT4895
IMT4895 - Specialisation in Colour Imaging
An up-to-date selection of advanced research topics is done by the lecturer each year.
On completion of the course, the students will
-Possess specialized insight and advanced knowledge within the broadly defined field of color imaging, including methodologies of capturing, processing, assessing, and reproducing color images; with particular emphasis on perceptual aspects
-Possess specialized insight and good understanding of the research frontier in selected parts of color imaging
-Be able to analyze existing theories, methods, and interpretations, and to challenge established knowledge and practice in the color imaging field
-Be able to critically review relevant literature of relevance to the selected topics in the field
-Be experienced in acquiring new knowledge and skills in a self-directed manner
-Be able to communicate academic issues, analysis, and conclusions, with peers and specialists in the field, in oral and written forms
Learning methods and activities
-Some lectures by course responsible and guest lecturers
-Student presentations on selected topics
Presentations of a research paper assigned by the course responsible
-Hand-outs and research papers
- Coursework Requirements
Further on evaluation
-Ordinary re-sit examination is offered for the oral exam in August.
Forms of assessment:
-Oral presentation and report on a selected research topic, approved by lecturer. Includes critical analysis of previous works (counts 60%)
-Oral exam, individually (counts 40%)
-Each part must be individually approved of.
Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.
Admission to a programme of study is required:
Applied Computer Science (MACS)
Applied Computer Science (MACS-D)
Colour in Informatics and Media Technology (MMT-CIMET)
Colour in Science and Industry (COSI) (MACS-COSI)
Computational Colour and Spectral Imaging (MSCOSI)
Recommended previous knowledge
IMT4305 Image Processing and Analysis or equivalent courses
Hand-outs and research papers
Credits: 7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2020
Language of instruction: English
- Graphics/Image Processing
- Signal Processing
- Multivariate Image Analysis
- * 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"