Digital Image Processing 510-IS1-3CPO-23-ENG
Profile: general-academic
Form of studies: stationary
Course type: non-obligatory
Field and the discipline of the science: sciences and natural sciences, computer science
Year of studies/semester: 3/6
Preliminary requirements (so-called sequential system of classes and examinations): Fundamentals of structured programming
Lecture: 15, laboratory classes: 30
Didactic methods: lecture, presentation, discussion, laboratory classes, didactic materials in pdf format, instructions at laboratory calsses, consultations).
ECTS: 4
Balance of the workload of the student:
Participation in the classes:
- lecture: 15 h,
- laboratory classes: 30 h,
Review of literature: 10 h
Reports of classes, homeworks: 10 h
Preparation for test: 8 h
Preparation for exam: 6 h
Exam: 2 h
Participation in consultations: 3 h
Quantitative indicators:
requiring the direct participation of the teacher: 50, 2.1ECTS
on the nature of practical cases: 50, 1.9ECTS
Type of course
Prerequisites (description)
Course coordinators
Learning outcomes
Course Learning Outcomes:
Knows and can describe basic digital image models. KP6_WG11
Can list and characterize basic digital image processing methods. KP6_WG11
Can select the appropriate method for processing various types of images. KP6_UW8, KP6_UK3
Can correctly perform image processing and draw appropriate conclusions. KP6_UW8, KP6_UK3
Has the ability to implement image processing methods, e.g., in Matlab. KP6_UW8
Can appropriately organize work to solve image processing problems. KP6_UW8, KP6_UK3, KP6_UO1, KP6_UO2
Systematically expands knowledge of image processing. KP6_KK1
Creatively solves image processing problems, independently and collaboratively. KP6_UK3, KP6_UO1, KP6_UO2
Assessment criteria
According to the Study Regulations. General form of getting credit: written exam.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: