Schedule, syllabus and examination date

Course content

The course deals with digital images and their properties, color models and perception, representation methods for digital images, histogram transformations and 2-dimensional digital convolution and filtering, segmentation as well as image coding and compression.

Learning outcome

After taking this topic, you'll have:

  • knowledge of concepts, methods and areas of application for digital image processing.
  • experience with how reviewed theory can be used to solve specific problems or tasks.
  • a solid background for further studies in image analysis and pattern recognition/machine learning

Admission to the course

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for?in Studentweb.

Special admission requirements

In addition to fulfilling the?Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:

  • Mathematics R1 or Mathematics (S1+S2)

The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies. Read more about?special admission requirements?(in Norwegian).

Formal prerequisite knowledge

The course presupposes:?IN1000 – Introduction to Object-oriented Programming/IN1900 – Introduction to Programming with Scientific Applications/MAT-IN1105 – Programming, Modelling and Computations (discontinued) and