IMT6151 - Selected topics in Image Processing


Examination arrangement

Examination arrangement: Term paper and final paper
Grade: Passed/Failed

Evaluation Weighting Duration Grade deviation Examination aids
Term paper 1/2
Final paper 1/2

Course content

Recent advances in image processing including adaptive and real-time algorithms, multi-scale techniques, HVS inspired approaches, multi-view image processing, lightfield imaging, etc.

Learning outcome

Knowledge The candidate is in the forefront of knowledge within the fields of selected topics in image processing The candidate can evaluate the approprietness and applicability of advanced image processing methods in different application domains The candidate has the ability to discuss and explain advanced image processing methods

Skills The candidate can formulate possible advanced image processing solutions to different applications The candidate can implement advanced image processing algorithms

General competence The candidate has the ability to communicate and discuss recent research in advanced topics on image processing The candidate has the ability to evaluate other people work on advanced image processing techniques

Learning methods and activities

-Lectures -E-learning -Project work -Seminar(s)

Compulsory requirements: Give 2 presentations consisting of an introductory lecture (20 min) and a full lecture (45 min). The first on the bases of the term paper and the second based on the final paper. Attend at least 80% of the lectures and seminars.

Compulsory assignments

  • Coursework Requirement

Further on evaluation

Utfyllende om kontinuasjon: Both papers must be resubmitted and evaluated.

Vurderingsformer: The candidate must provide one term paper and a final paper. The term paper he/she proposes novel ideas or applies one or more of the studied techniques to address a problem related to the candidates own thesis work. The final paper should be in the form of a scientific paper, including proposed novel idea(s) supported by thorough discussion, experimental results and analysis, in a close to publishable scientific form. Both papers must be accepted to pass the course.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Computer Science (PHCOS)
Computer Science (PHD-CS)
Information Security (PHD-IS)

Required previous knowledge

Fundamental programming and algorithms Fundamental image processing

Course materials

A selection of recently published journal and conference papers, will be provided before the course starting date to accommodate the needs and background of the participants.

More on the course



Version: 1
Credits:  5.0 SP
Study level: Doctoral degree level


Term no.: 1
Teaching semester:  AUTUMN 2021

Term no.: 1
Teaching semester:  SPRING 2022

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Informatics
Contact information
Course coordinator:

Department with academic responsibility
Department of Computer Science


Examination arrangement: Term paper and final paper

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Term paper 1/2





Room Building Number of candidates
Autumn ORD Final paper 1/2





Room Building Number of candidates
Spring ORD Term paper 1/2
Room Building Number of candidates
Spring ORD Final paper 1/2
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"

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