course-details-portlet

IMT6151 - Selected topics in Image Processing

About

Examination arrangement

Examination arrangement: Assignment
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
Assignment 1/2
Assignment 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

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:
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

No

Facts

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

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2020

Term no.: 1
Teaching semester:  SPRING 2021

Language of instruction: English

Location: Gjøvik

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

Department with academic responsibility
Department of Computer Science

Phone:

Examination

Examination arrangement: Assignment

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Assignment 1/2
Room Building Number of candidates
Spring ORD Assignment 1/2
Room Building Number of candidates
Autumn ORD Assignment 1/2
Room Building Number of candidates
Spring ORD Assignment 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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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