IN3370 – Digital image processing and analysis
Course description
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, classification? as well as image coding and compression.
Learning outcome
After taking this course, you should
- Understand and analyze implications and effects of sampling, quantization, and aliasing in image processing.?
- Apply methods for image interpolation and evaluate their effects.?
- Apply geometric transformations in solving real-world image processing problems.?
- Use and design spatial filters for image analysis.?
- Understand the Fourier transform and its inverse and be able to describe its properties.?
- Apply image classification, detection, and segmentation to solve common image analysis problems.??
- Apply feature descriptors to different image analysis tasks, e.g., in methods for classification, detection, and segmentation.?
- Describe common coding and compression algorithms for images using basic information theory.??
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
Engelsk
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?IN1010 – Object-oriented Programming/IN1910 – Programming with Scientific Applications and MAT1100 – Calculus/MAT1050 – Mathematics for Applications 1
Recommended previous knowledge
A good background in programming is desired, e.g. IN2010.?
The course uses linear algebra, in particular basis functions/matrices and complex number, so MAT1120 is useful?
Overlapping courses
- 7 credits overlap with IN2070 – Digital Image Processing (continued).
Teaching
It will be 2 hours of lectures and 2 hours of exercises per week.
The course has mandatory assignments that must be approved prior to the exam.?Read more about requirements for submission of assignments, group work and legal cooperation under guidelines for mandatory assignments.
Examination
Final 4 hours long?digital exam.
All mandatory assignments must be approved prior to the exam.
It will also be counted as one of?your three?attempts to sit the exam for this course, if you sit the exam for one of the following courses: IN2070 – Digital Image Processing (continued), INF2310 – Digital bildebehandling (continued)
Examination support material
No examination support material is allowed.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F?is a fail. Read more about?the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are?offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.