IMT4895 - Specialisation in Colour Imaging


Course content

An up-to-date selection of advanced research topics is done by the lecturer each year.

Learning outcome

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

-Group work
-Lab work
-Project work
-Some lectures by course responsible and guest lecturers
-Student presentations on selected topics

Compulsory requirements:
Presentations of a research paper assigned by the course responsible

Teaching Materials:
-Hand-outs and research papers

Compulsory assignments

  • 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.

Specific conditions

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)

Course materials

Hand-outs and research papers

Credit reductions

Course code Reduction From To
IMT5261 5.0 01.09.2017
IMT4172 2.5 01.09.2017
More on the course



Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  AUTUMN 2020

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Graphics/Image Processing
  • Signal Processing
  • Multivariate Image Analysis
  • Optics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science



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