course-details-portlet

IMT6151

Selected topics in Image Processing

Credits 5
Level Doctoral degree level
Course start Autumn 2016 / Spring 2017
Duration 1 semester
Language of instruction English
Examination arrangement Assignment

About

About the course

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

Forelesninger|Nettstøttet læring|Prosjektarbeid|Samling(er)/seminar(er)

Obligatoriske arbeidskrav:

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

Admission to a programme of study is required:
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.

Subject areas

  • Informatics

Contact information

Course coordinator

Department with academic responsibility

Department of Computer Science

Examination

Examination

Examination arrangement: Assignment
Grade: Passed/Failed

Ordinary examination - Autumn 2016

Term paper
Weighting 1/2
Final paper
Weighting 1/2 Date Submission 2016-12-20

Ordinary examination - Spring 2017

Term paper
Weighting 1/2
Final paper
Weighting 1/2